├── .gitattributes ├── .gitignore ├── LICENSE.txt ├── README.md ├── math ├── README.md └── Untitled.ipynb ├── vol1 ├── README.md ├── c-examples │ ├── AIFH-VOL1.c │ ├── AIFH-VOL1.sln │ ├── AIFH-VOL1.vcxproj │ ├── AIFH-VOL1.vcxproj.filters │ ├── CMakeLists.txt │ ├── Data.c │ ├── Distance.c │ ├── Equilateral.c │ ├── Error.c │ ├── ExampleAnalyze.c │ ├── ExampleAnnealKnapsack.c │ ├── ExampleAnnealTSP.c │ ├── ExampleDistance.c │ ├── ExampleError.c │ ├── ExampleGLM.c │ ├── ExampleKMeans.c │ ├── ExampleLearnIris.c │ ├── ExampleLearnIrisAnneal.c │ ├── ExampleLearnIrisClimb.c │ ├── ExampleLearnIrisNelderMead.c │ ├── ExampleLearnPoly.c │ ├── ExampleLearnXOR.c │ ├── ExampleLinearRegression.c │ ├── ExampleNormalize.c │ ├── ExamplePI.c │ ├── ExampleRandom.c │ ├── ExampleReadCSV.c │ ├── ExampleSimpleNormalize.c │ ├── ExampleTest.c │ ├── ExampleUtil.c │ ├── KMeans.c │ ├── Normalize.c │ ├── RBF.c │ ├── RBFNetwork.c │ ├── README.md │ ├── README.txt │ ├── Random.c │ ├── Regression.c │ ├── Train.c │ ├── aifh-vol1-examples.h │ ├── aifh-vol1.h │ ├── asa047.c │ ├── csv.h │ ├── datasets │ │ ├── abalone.csv │ │ ├── breast-cancer-wisconsin.csv │ │ └── iris.csv │ ├── libcsv.c │ ├── makefile │ ├── matrix.c │ ├── mt19937ar.c │ ├── stdafx.h │ ├── targetver.h │ └── test.txt ├── chart.R ├── csharp-examples │ ├── .vscode │ │ └── launch.json │ ├── AIFH-Vol1-Core │ │ ├── AIFH-Vol1-Core.csproj │ │ ├── Core │ │ │ ├── AIFH.cs │ │ │ ├── AIFHError.cs │ │ │ ├── Discrete │ │ │ │ └── DiscreteAnneal.cs │ │ │ ├── Distance │ │ │ │ ├── AbstractDistance.cs │ │ │ │ ├── ChebyshevDistance.cs │ │ │ │ ├── EuclideanDistance.cs │ │ │ │ ├── ICalculateDistance.cs │ │ │ │ └── ManhattanDistance.cs │ │ │ ├── Error │ │ │ │ ├── AbstractErrorCalculation.cs │ │ │ │ ├── ErrorCalculationMSE.cs │ │ │ │ ├── ErrorCalculationRMS.cs │ │ │ │ ├── ErrorCalculationSSE.cs │ │ │ │ └── IErrorCalculation.cs │ │ │ ├── General │ │ │ │ ├── Data │ │ │ │ │ └── BasicData.cs │ │ │ │ ├── Fns │ │ │ │ │ ├── AbstractRBF.cs │ │ │ │ │ ├── GaussianFunction.cs │ │ │ │ │ ├── IFn.cs │ │ │ │ │ ├── IFnRBF.cs │ │ │ │ │ ├── InverseMultiquadricFunction.cs │ │ │ │ │ ├── Link │ │ │ │ │ │ ├── IdentityLinkFunction.cs │ │ │ │ │ │ ├── InverseLinkFunction.cs │ │ │ │ │ │ ├── InverseSquaredLinkFunction.cs │ │ │ │ │ │ ├── LogLinkFunction.cs │ │ │ │ │ │ └── LogitLinkFunction.cs │ │ │ │ │ ├── MexicanHatFunction.cs │ │ │ │ │ └── MultiquadricFunction.cs │ │ │ │ └── VectorUtil.cs │ │ │ ├── KMeans │ │ │ │ ├── Cluster.cs │ │ │ │ └── KMeansClustering.cs │ │ │ ├── Learning │ │ │ │ ├── IClassificationAlgorithm.cs │ │ │ │ ├── ILearningMethod.cs │ │ │ │ ├── IMachineLearningAlgorithm.cs │ │ │ │ ├── IRegressionAlgorithm.cs │ │ │ │ ├── RBFNetwork.cs │ │ │ │ ├── Score │ │ │ │ │ ├── IScoreFunction.cs │ │ │ │ │ ├── ScoreClassificationData.cs │ │ │ │ │ └── ScoreRegressionData.cs │ │ │ │ ├── TrainAnneal.cs │ │ │ │ ├── TrainGreedyRandom.cs │ │ │ │ ├── TrainHillClimb.cs │ │ │ │ └── TrainNelderMead.cs │ │ │ ├── Normalize │ │ │ │ ├── DataSet.cs │ │ │ │ └── Equilateral.cs │ │ │ ├── Randomize │ │ │ │ ├── AbstractBoxMuller.cs │ │ │ │ ├── AbstractGenerateRandom.cs │ │ │ │ ├── BasicGenerateRandom.cs │ │ │ │ ├── IGenerateRandom.cs │ │ │ │ ├── LinearCongruentialRandom.cs │ │ │ │ ├── MersenneTwisterGenerateRandom.cs │ │ │ │ ├── MultiplyWithCarryGenerateRandom.cs │ │ │ │ └── SecureGenerateRandom.cs │ │ │ └── Regression │ │ │ │ ├── MultipleLinearRegression.cs │ │ │ │ ├── TrainLeastSquares.cs │ │ │ │ └── TrainReweightLeastSquares.cs │ │ ├── Properties │ │ │ └── AssemblyInfo.cs │ │ └── packages.config │ ├── AIFH-Vol1-OCR │ │ ├── AIFH-Vol1-OCR.csproj │ │ ├── App.config │ │ ├── DownSample.cs │ │ ├── OCRForm.cs │ │ ├── OCRForm.designer.cs │ │ ├── OCRForm.resx │ │ ├── Program.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol1-Random │ │ ├── AIFH-Vol1-Random.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol1.sln │ ├── AIFH-Vol1.v11.suo │ ├── AIFH-Vol1 │ │ ├── AIFH-Vol1.csproj │ │ ├── App.config │ │ ├── ExampleHolder.cs │ │ ├── Examples │ │ │ ├── Discrete │ │ │ │ ├── KnapsackAnneal.cs │ │ │ │ └── TravelingSalesmanAnneal.cs │ │ │ ├── Error │ │ │ │ ├── DataHolder.cs │ │ │ │ └── EvaluateErrors.cs │ │ │ ├── Intro │ │ │ │ └── CSVExample.cs │ │ │ ├── KMeans │ │ │ │ └── PerformCluster.cs │ │ │ ├── Learning │ │ │ │ ├── LearnIris.cs │ │ │ │ ├── LearnPolynomial.cs │ │ │ │ ├── LearnXOR.cs │ │ │ │ ├── PolynomialFn.cs │ │ │ │ └── SimpleLearn.cs │ │ │ ├── Normalize │ │ │ │ └── NormalizeCSVExample.cs │ │ │ ├── Optimization │ │ │ │ ├── LearnIrisAnneal.cs │ │ │ │ ├── LearnIrisClimb.cs │ │ │ │ └── LearnIrisNelderMead.cs │ │ │ ├── Randomize │ │ │ │ └── EvaluatePI.cs │ │ │ └── Regression │ │ │ │ ├── GLMExample.cs │ │ │ │ └── LinearRegressionExample.cs │ │ ├── Program.cs │ │ ├── Properties │ │ │ └── AssemblyInfo.cs │ │ ├── Resources │ │ │ ├── abalone.csv │ │ │ ├── breast-cancer-wisconsin.csv │ │ │ └── iris.csv │ │ └── packages.config │ ├── README.md │ ├── README.txt │ ├── UnitTests │ │ ├── Core │ │ │ ├── Discrete │ │ │ │ ├── DiscreteAnnealSubclass.cs │ │ │ │ └── TestDiscreteAnneal.cs │ │ │ ├── Distance │ │ │ │ ├── TestChebyshevDistance.cs │ │ │ │ ├── TestEuclideanDistance.cs │ │ │ │ └── TestManhattanDistance.cs │ │ │ ├── Error │ │ │ │ ├── ErrorTestingUtil.cs │ │ │ │ ├── TestErrorCalculationMSE.cs │ │ │ │ ├── TestErrorCalculationRMS.cs │ │ │ │ └── TestErrorCalculationSSE.cs │ │ │ ├── General │ │ │ │ ├── Data │ │ │ │ │ └── TestBasicData.cs │ │ │ │ ├── Fns │ │ │ │ │ ├── Link │ │ │ │ │ │ ├── TestIdentityLinkFunction.cs │ │ │ │ │ │ ├── TestInverseLinkFunction.cs │ │ │ │ │ │ ├── TestInverseSquaredLinkFunction.cs │ │ │ │ │ │ ├── TestLogLinkFunction.cs │ │ │ │ │ │ └── TestLogitLinkFunction.cs │ │ │ │ │ ├── TestGaussianFunction.cs │ │ │ │ │ ├── TestInverseMultiquadricFunction.cs │ │ │ │ │ ├── TestMexicanHatFunction.cs │ │ │ │ │ └── TestMultiquadricFunction.cs │ │ │ │ └── TestVectorUtil.cs │ │ │ ├── KMeans │ │ │ │ ├── TestCluster.cs │ │ │ │ └── TestKMeans.cs │ │ │ ├── Learning │ │ │ │ ├── Score │ │ │ │ │ ├── SimpleAlgo.cs │ │ │ │ │ ├── TestScoreClassificationData.cs │ │ │ │ │ └── TestScoreRegressionData.cs │ │ │ │ ├── TestLearnAnneal.cs │ │ │ │ ├── TestRBFNetwork.cs │ │ │ │ ├── TestTraining.cs │ │ │ │ ├── TrialAlgo.cs │ │ │ │ └── TrialScore.cs │ │ │ ├── Normalize │ │ │ │ ├── TestDataSet.cs │ │ │ │ └── TestEquilateral.cs │ │ │ ├── Randomize │ │ │ │ ├── TestLinearCongruentialRandom.cs │ │ │ │ ├── TestMersenneTwisterGenerateRandom.cs │ │ │ │ └── TestMultiplyWithCarryGenerateRandom.cs │ │ │ └── Regression │ │ │ │ ├── TestMultipleLinearRegression.cs │ │ │ │ ├── TestTrainLeastSquares.cs │ │ │ │ └── TestTrainReweightLeastSquares.cs │ │ ├── Properties │ │ │ └── AssemblyInfo.cs │ │ ├── UnitTest1.cs │ │ └── UnitTests.csproj │ └── packages │ │ ├── CsvHelper.2.2.2 │ │ ├── CsvHelper.2.2.2.nupkg │ │ ├── CsvHelper.2.2.2.nuspec │ │ └── lib │ │ │ ├── net20 │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ └── CsvHelper.pdb │ │ │ ├── net35-client │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ └── CsvHelper.pdb │ │ │ ├── net40-client │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ └── CsvHelper.pdb │ │ │ ├── netcore45 │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ ├── CsvHelper.pdb │ │ │ └── CsvHelper.pri │ │ │ ├── sl4 │ │ │ ├── CsvHelper.dll │ │ │ ├── CsvHelper.pdb │ │ │ ├── CsvHelperSl4.XML │ │ │ ├── Microsoft.CSharp.dll │ │ │ ├── Microsoft.CSharp.xml │ │ │ ├── de │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── es │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── fr │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── it │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ja │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ko │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ru │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── zh-Hans │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ └── zh-Hant │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── sl5 │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ ├── CsvHelper.pdb │ │ │ ├── Microsoft.CSharp.dll │ │ │ ├── Microsoft.CSharp.xml │ │ │ ├── de │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── es │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── fr │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── it │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ja │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ko │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── ru │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── zh-Hans │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ └── zh-Hant │ │ │ │ └── Microsoft.CSharp.resources.dll │ │ │ ├── windowsphone8 │ │ │ └── _._ │ │ │ └── wp71 │ │ │ ├── CsvHelper.XML │ │ │ ├── CsvHelper.dll │ │ │ └── CsvHelper.pdb │ │ └── repositories.config ├── java-examples │ ├── .gitignore │ ├── README.md │ ├── README.txt │ ├── build.gradle │ ├── gradle │ │ └── wrapper │ │ │ ├── gradle-wrapper.jar │ │ │ └── gradle-wrapper.properties │ ├── gradlew │ ├── gradlew.bat │ ├── sample.dat │ └── src │ │ ├── main │ │ ├── java │ │ │ └── com │ │ │ │ └── heatonresearch │ │ │ │ └── aifh │ │ │ │ ├── AIFH.java │ │ │ │ ├── AIFHError.java │ │ │ │ ├── discrete │ │ │ │ ├── DiscreteAnneal.java │ │ │ │ └── package-info.java │ │ │ │ ├── distance │ │ │ │ ├── AbstractDistance.java │ │ │ │ ├── CalculateDistance.java │ │ │ │ ├── ChebyshevDistance.java │ │ │ │ ├── EuclideanDistance.java │ │ │ │ ├── ManhattanDistance.java │ │ │ │ └── package-info.java │ │ │ │ ├── error │ │ │ │ ├── AbstractErrorCalculation.java │ │ │ │ ├── ErrorCalculation.java │ │ │ │ ├── ErrorCalculationMSE.java │ │ │ │ ├── ErrorCalculationRMS.java │ │ │ │ ├── ErrorCalculationSSE.java │ │ │ │ └── package-info.java │ │ │ │ ├── examples │ │ │ │ ├── discrete │ │ │ │ │ ├── KnapsackAnneal.java │ │ │ │ │ ├── TravelingSalesmanAnneal.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── distance │ │ │ │ │ ├── Entry.java │ │ │ │ │ ├── OCRExample.java │ │ │ │ │ ├── Sample.java │ │ │ │ │ ├── SampleData.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── error │ │ │ │ │ ├── DataHolder.java │ │ │ │ │ ├── EvaluateErrors.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── intro │ │ │ │ │ ├── CSVExample.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── kmeans │ │ │ │ │ ├── PerformCluster.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── learning │ │ │ │ │ ├── LearnIris.java │ │ │ │ │ ├── LearnPolynomial.java │ │ │ │ │ ├── LearnXOR.java │ │ │ │ │ ├── PolynomialFn.java │ │ │ │ │ ├── SimpleLearn.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── normalize │ │ │ │ │ ├── NormalizeCSVExample.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── optimization │ │ │ │ │ ├── LearnIrisAnneal.java │ │ │ │ │ ├── LearnIrisClimb.java │ │ │ │ │ ├── LearnIrisNelderMead.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── package-info.java │ │ │ │ ├── randomize │ │ │ │ │ ├── EvaluatePI.java │ │ │ │ │ ├── EvaluateRandom.java │ │ │ │ │ ├── HistoPanel.java │ │ │ │ │ └── package-info.java │ │ │ │ └── regression │ │ │ │ │ ├── GLMExample.java │ │ │ │ │ ├── LinearRegressionExample.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── general │ │ │ │ ├── VectorUtil.java │ │ │ │ ├── data │ │ │ │ │ ├── BasicData.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── fns │ │ │ │ │ ├── AbstractRBF.java │ │ │ │ │ ├── Fn.java │ │ │ │ │ ├── FnRBF.java │ │ │ │ │ ├── GaussianFunction.java │ │ │ │ │ ├── InverseMultiquadricFunction.java │ │ │ │ │ ├── MexicanHatFunction.java │ │ │ │ │ ├── MultiquadricFunction.java │ │ │ │ │ ├── link │ │ │ │ │ │ ├── IdentityLinkFunction.java │ │ │ │ │ │ ├── InverseLinkFunction.java │ │ │ │ │ │ ├── InverseSquaredLinkFunction.java │ │ │ │ │ │ ├── LogLinkFunction.java │ │ │ │ │ │ ├── LogitLinkFunction.java │ │ │ │ │ │ └── package-info.java │ │ │ │ │ └── package-info.java │ │ │ │ └── package-info.java │ │ │ │ ├── kmeans │ │ │ │ ├── Cluster.java │ │ │ │ ├── KMeans.java │ │ │ │ └── package-info.java │ │ │ │ ├── learning │ │ │ │ ├── ClassificationAlgorithm.java │ │ │ │ ├── LearningMethod.java │ │ │ │ ├── MachineLearningAlgorithm.java │ │ │ │ ├── RBFNetwork.java │ │ │ │ ├── RegressionAlgorithm.java │ │ │ │ ├── TrainAnneal.java │ │ │ │ ├── TrainGreedyRandom.java │ │ │ │ ├── TrainHillClimb.java │ │ │ │ ├── TrainNelderMead.java │ │ │ │ ├── package-info.java │ │ │ │ └── score │ │ │ │ │ ├── ScoreClassificationData.java │ │ │ │ │ ├── ScoreFunction.java │ │ │ │ │ ├── ScoreRegressionData.java │ │ │ │ │ └── package-info.java │ │ │ │ ├── normalize │ │ │ │ ├── DataSet.java │ │ │ │ ├── Equilateral.java │ │ │ │ └── package-info.java │ │ │ │ ├── package-info.java │ │ │ │ ├── randomize │ │ │ │ ├── AbstractBoxMuller.java │ │ │ │ ├── AbstractGenerateRandom.java │ │ │ │ ├── BasicGenerateRandom.java │ │ │ │ ├── GenerateRandom.java │ │ │ │ ├── LinearCongruentialRandom.java │ │ │ │ ├── MersenneTwisterGenerateRandom.java │ │ │ │ ├── MultiplyWithCarryGenerateRandom.java │ │ │ │ ├── SecureGenerateRandom.java │ │ │ │ └── package-info.java │ │ │ │ └── regression │ │ │ │ ├── MultipleLinearRegression.java │ │ │ │ ├── TrainLeastSquares.java │ │ │ │ ├── TrainReweightLeastSquares.java │ │ │ │ └── package-info.java │ │ └── resources │ │ │ ├── abalone.csv │ │ │ ├── breast-cancer-wisconsin.csv │ │ │ └── iris.csv │ │ └── test │ │ └── java │ │ └── com │ │ └── heatonresearch │ │ └── aifh │ │ ├── TestAIFH.java │ │ ├── discrete │ │ ├── DiscreteAnnealSubclass.java │ │ └── TestDiscreteAnneal.java │ │ ├── distance │ │ ├── TestChebyshevDistance.java │ │ ├── TestEuclideanDistance.java │ │ └── TestManhattanDistance.java │ │ ├── error │ │ ├── ErrorTestingUtil.java │ │ ├── TestErrorCalculationESS.java │ │ ├── TestErrorCalculationMSE.java │ │ └── TestErrorCalculationRMS.java │ │ ├── general │ │ ├── TestVectorUtil.java │ │ ├── data │ │ │ └── TestBasicData.java │ │ └── fns │ │ │ ├── TestGaussianFunction.java │ │ │ ├── TestInverseMultiquadricFunction.java │ │ │ ├── TestMexicanHatFunction.java │ │ │ ├── TestMultiquadricFunction.java │ │ │ └── link │ │ │ ├── TestIdentityLinkFunction.java │ │ │ ├── TestInverseLinkFunction.java │ │ │ ├── TestInverseSquaredLinkFunction.java │ │ │ ├── TestLogLinkFunction.java │ │ │ └── TestLogitLinkFunction.java │ │ ├── kmeans │ │ ├── TestCluster.java │ │ └── TestKMeans.java │ │ ├── learning │ │ ├── TestLearnAnneal.java │ │ ├── TestRBFNetwork.java │ │ ├── TestTraining.java │ │ ├── TrialAlgo.java │ │ ├── TrialScore.java │ │ └── score │ │ │ ├── SimpleAlgo.java │ │ │ ├── TestScoreClassificationData.java │ │ │ └── TestScoreRegressionData.java │ │ ├── normalize │ │ ├── TestDataSet.java │ │ └── TestEquilateral.java │ │ ├── randomize │ │ ├── TestBasicGenerateRandom.java │ │ ├── TestLinearCongruentialRandom.java │ │ ├── TestMersenneTwisterGenerateRandom.java │ │ ├── TestMultiplyWithCarryGenerateRandom.java │ │ └── TestSecureGenerateRandom.java │ │ └── regression │ │ ├── TestMultipleLinearRegression.java │ │ ├── TestTrainLeastSquares.java │ │ └── TestTrainReweightLeastSquares.java ├── python-examples │ ├── README.md │ ├── README.txt │ ├── Watchfile │ ├── datasets │ │ ├── abalone.csv │ │ ├── breast-cancer-wisconsin.csv │ │ └── iris.csv │ ├── examples │ │ ├── __init__.py │ │ ├── example_anneal_disc_knapsack.py │ │ ├── example_anneal_disc_tsp.py │ │ ├── example_anneal_iris.py │ │ ├── example_climb_xor.py │ │ ├── example_distance.py │ │ ├── example_error.py │ │ ├── example_kmeans.py │ │ ├── example_linear_regression.py │ │ ├── example_logit.py │ │ ├── example_nm_iris.py │ │ ├── example_nm_xor.py │ │ ├── example_normalize.py │ │ ├── example_ocr.py │ │ ├── example_rand_polynomial.py │ │ ├── example_rand_xor.py │ │ ├── example_random.py │ │ └── example_readcsv.py │ ├── lib │ │ ├── __init__.py │ │ └── aifh │ │ │ ├── __init__.py │ │ │ ├── aifh_error.py │ │ │ ├── equilateral.py │ │ │ ├── error.py │ │ │ ├── normalize.py │ │ │ ├── rbf.py │ │ │ ├── rbf_network.py │ │ │ └── train.py │ └── test │ │ ├── __init__.py │ │ ├── aifh │ │ ├── __init__.py │ │ ├── test_equilateral.py │ │ ├── test_error.py │ │ ├── test_normalize.py │ │ ├── test_rbf.py │ │ └── test_rbf_network.py │ │ └── test_suite.py ├── r-examples │ ├── README.md │ ├── README.txt │ ├── ch1 │ │ ├── iris.csv │ │ └── readCSV.R │ ├── ch10 │ │ ├── abalone.csv │ │ ├── multiLinearRegression.R │ │ └── tempConv.R │ ├── ch2 │ │ ├── denormalizeCSV.R │ │ ├── iris.csv │ │ └── normalizeCSV.R │ ├── ch3 │ │ └── distance.R │ ├── ch4 │ │ ├── inscribed_circle.r │ │ └── random.R │ ├── ch5 │ │ └── kmeans.R │ ├── ch6 │ │ └── errorcalc.R │ ├── ch7 │ │ └── learnPoly.R │ ├── ch8 │ │ ├── learnPolyAnneal.R │ │ └── learnPolyNM.R │ └── ch9 │ │ ├── knapsack.R │ │ └── tsp.R └── scala-examples │ ├── .gitignore │ ├── README.md │ ├── README.txt │ ├── build.sbt │ ├── project │ └── plugins.sbt │ └── src │ ├── main │ ├── resources │ │ ├── abalone.csv │ │ ├── breast-cancer-wisconsin.csv │ │ └── iris.csv │ └── scala │ │ └── com │ │ └── heatonresearch │ │ └── aifh │ │ ├── AIFH.scala │ │ ├── AIFHError.scala │ │ ├── ExampleRunner.scala │ │ ├── discrete │ │ ├── DiscreteAnneal.scala │ │ └── package.scala │ │ ├── distance │ │ ├── CalculateDistance.scala │ │ ├── ChebyshevDistance.scala │ │ ├── EuclideanDistance.scala │ │ ├── ManhattanDistance.scala │ │ └── package.scala │ │ ├── error │ │ ├── AbstractErrorCalculation.scala │ │ ├── ErrorCalculation.scala │ │ ├── ErrorCalculationESS.scala │ │ ├── ErrorCalculationMSE.scala │ │ ├── ErrorCalculationRMS.scala │ │ └── package.scala │ │ ├── examples │ │ ├── discrete │ │ │ ├── KnapsackAnneal.scala │ │ │ ├── TravelingSalesmanAnneal.scala │ │ │ └── package.scala │ │ ├── distance │ │ │ ├── Entry.scala │ │ │ ├── OCRExample.scala │ │ │ ├── Sample.scala │ │ │ ├── SampleData.scala │ │ │ └── package.scala │ │ ├── error │ │ │ ├── DataHolder.scala │ │ │ ├── EvaluateErrors.scala │ │ │ └── package.scala │ │ ├── intro │ │ │ ├── CSVExample.scala │ │ │ └── package.scala │ │ ├── kmeans │ │ │ ├── PerformCluster.scala │ │ │ └── package.scala │ │ ├── learning │ │ │ ├── LearnIris.scala │ │ │ ├── LearnPolynomial.scala │ │ │ ├── LearnXOR.scala │ │ │ ├── PolynomialFn.scala │ │ │ ├── SimpleLearn.scala │ │ │ └── package.scala │ │ ├── normalize │ │ │ ├── NormalizeCSVExample.scala │ │ │ └── package.scala │ │ ├── optimization │ │ │ ├── LearnIrisAnneal.scala │ │ │ ├── LearnIrisClimb.scala │ │ │ ├── LearnIrisNelderMead.scala │ │ │ └── package.scala │ │ ├── package.scala │ │ ├── randomize │ │ │ ├── EvaluatePI.scala │ │ │ ├── EvaluateRandom.scala │ │ │ ├── HistoPanel.scala │ │ │ └── package.scala │ │ └── regression │ │ │ ├── GLMExample.scala │ │ │ ├── LinearRegressionExample.scala │ │ │ └── package.scala │ │ ├── general │ │ ├── data │ │ │ ├── BasicData.scala │ │ │ ├── RichData.scala │ │ │ └── package.scala │ │ ├── fns │ │ │ ├── AbstractRBF.scala │ │ │ ├── Fn.scala │ │ │ ├── FnRBF.scala │ │ │ ├── GaussianFunction.scala │ │ │ ├── InverseMultiquadricFunction.scala │ │ │ ├── MexicanHatFunction.scala │ │ │ ├── MultiquadricFunction.scala │ │ │ ├── link │ │ │ │ ├── IdentityLinkFunction.scala │ │ │ │ ├── InverseLinkFunction.scala │ │ │ │ ├── InverseSquaredLinkFunction.scala │ │ │ │ ├── LogLinkFunction.scala │ │ │ │ ├── LogitLinkFunction.scala │ │ │ │ └── package.scala │ │ │ └── package.scala │ │ └── package.scala │ │ ├── kmeans │ │ ├── Cluster.scala │ │ ├── KMeans.scala │ │ └── package.scala │ │ ├── learning │ │ ├── ClassificationAlgorithm.scala │ │ ├── LearningMethod.scala │ │ ├── MachineLearningAlgorithm.scala │ │ ├── RBFNetwork.scala │ │ ├── RegressionAlgorithm.scala │ │ ├── TrainAnneal.scala │ │ ├── TrainGreedyRandom.scala │ │ ├── TrainHillClimb.scala │ │ ├── TrainNelderMead.scala │ │ ├── package.scala │ │ └── score │ │ │ ├── ScoreClassificationData.scala │ │ │ ├── ScoreFunction.scala │ │ │ ├── ScoreRegressionData.scala │ │ │ └── package.scala │ │ ├── normalize │ │ ├── DataSet.scala │ │ ├── Equilateral.scala │ │ └── package.scala │ │ ├── package.scala │ │ ├── randomize │ │ ├── AbstractBoxMuller.scala │ │ ├── AbstractGenerateRandom.scala │ │ ├── BasicGenerateRandom.scala │ │ ├── GenerateRandom.scala │ │ ├── LinearCongruentialRandom.scala │ │ ├── MersenneTwisterGenerateRandom.scala │ │ ├── MultiplyWithCarryGenerateRandom.scala │ │ ├── SecureGenerateRandom.scala │ │ └── package.scala │ │ └── regression │ │ ├── MultipleLinearRegression.scala │ │ ├── TrainLeastSquares.scala │ │ ├── TrainReweightLeastSquares.scala │ │ └── package.scala │ └── test │ └── scala │ └── com │ └── heatonresearch │ └── aifh │ ├── discrete │ ├── DiscreteAnnealSubclass.scala │ └── TestDiscreteAnneal.scala │ ├── distance │ ├── TestChebyshevDistance.scala │ ├── TestEuclideanDistance.scala │ └── TestManhattanDistance.scala │ ├── error │ ├── ErrorTestingUtil.scala │ ├── TestErrorCalculationESS.scala │ ├── TestErrorCalculationMSE.scala │ └── TestErrorCalculationRMS.scala │ ├── general │ ├── data │ │ ├── TestBasicData.scala │ │ └── TestRichVector.scala │ └── fns │ │ ├── TestGaussianFunction.scala │ │ ├── TestInverseMultiquadricFunction.scala │ │ ├── TestMexicanHatFunction.scala │ │ ├── TestMultiquadricFunction.scala │ │ └── link │ │ ├── TestIdentityLinkFunction.scala │ │ ├── TestInverseLinkFunction.scala │ │ ├── TestInverseSquaredLinkFunction.scala │ │ ├── TestLogLinkFunction.scala │ │ └── TestLogitLinkFunction.scala │ ├── kmeans │ ├── TestCluster.scala │ └── TestKMeans.scala │ ├── learning │ ├── TestLearnAnneal.scala │ ├── TestRBFNetwork.scala │ ├── TestTraining.scala │ ├── TrialAlgo.scala │ ├── TrialScore.scala │ └── score │ │ ├── SimpleAlgo.scala │ │ ├── TestScoreClassificationData.scala │ │ └── TestScoreRegressionData.scala │ ├── normalize │ ├── TestDataSet.scala │ └── TestEquilateral.scala │ ├── randomize │ ├── TestBasicGenerateRandom.scala │ ├── TestLinearCongruentialRandom.scala │ ├── TestMersenneTwisterGenerateRandom.scala │ ├── TestMultiplyWithCarryGenerateRandom.scala │ └── TestSecureGenerateRandom.scala │ └── regression │ ├── TestMultipleLinearRegression.scala │ ├── TestTrainLeastSquares.scala │ └── TestTrainReweightLeastSquares.scala ├── vol2 ├── README.md ├── vol2-csharp-examples │ ├── AIFH-Vol2-Capstone-Plants │ │ ├── AIFH-Vol2-Capstone-Plants.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ ├── Milestone1 │ │ │ ├── DisplayPlant.cs │ │ │ ├── Milestone1Main.xaml │ │ │ ├── Milestone1Main.xaml.cs │ │ │ ├── PlantUniverse.cs │ │ │ └── PlantUniverseCell.cs │ │ ├── Milestone2 │ │ │ ├── Milestone2Main.xaml │ │ │ ├── Milestone2Main.xaml.cs │ │ │ ├── PlantGrowth.cs │ │ │ └── PlantPhysics.cs │ │ ├── Milestone3 │ │ │ ├── Milestone3Main.xaml │ │ │ ├── Milestone3Main.xaml.cs │ │ │ └── PlantScore.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol2-Conway │ │ ├── AIFH-Vol2-Conway.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol2-Core │ │ ├── AIFH-Vol2-Core.csproj │ │ ├── Class1.cs │ │ ├── Core │ │ │ ├── ACO │ │ │ │ ├── ContinuousACO.cs │ │ │ │ ├── ContinuousAnt.cs │ │ │ │ ├── DiscreteACO.cs │ │ │ │ ├── DiscreteAnt.cs │ │ │ │ └── ICostGraph.cs │ │ │ ├── AIFH.cs │ │ │ ├── AIFHError.cs │ │ │ ├── Distance │ │ │ │ ├── AbstractDistance.cs │ │ │ │ ├── ChebyshevDistance.cs │ │ │ │ ├── EuclideanDistance.cs │ │ │ │ ├── ICalculateDistance.cs │ │ │ │ └── ManhattanDistance.cs │ │ │ ├── Error │ │ │ │ ├── AbstractErrorCalculation.cs │ │ │ │ ├── ErrorCalculationMSE.cs │ │ │ │ ├── ErrorCalculationRMS.cs │ │ │ │ ├── ErrorCalculationSSE.cs │ │ │ │ └── IErrorCalculation.cs │ │ │ ├── Evolutionary │ │ │ │ ├── CODEC │ │ │ │ │ ├── GenomeAsPhenomeCODEC.cs │ │ │ │ │ └── IGeneticCODEC.cs │ │ │ │ ├── Genome │ │ │ │ │ ├── BasicGenome.cs │ │ │ │ │ ├── IGenome.cs │ │ │ │ │ └── IGenomeFactory.cs │ │ │ │ ├── Opp │ │ │ │ │ ├── CompoundOperator.cs │ │ │ │ │ ├── IEvolutionaryOperator.cs │ │ │ │ │ ├── OperationList.cs │ │ │ │ │ └── Selection │ │ │ │ │ │ ├── ISelectionOperator.cs │ │ │ │ │ │ ├── TournamentSelection.cs │ │ │ │ │ │ └── TruncationSelection.cs │ │ │ │ ├── Population │ │ │ │ │ ├── BasicPopulation.cs │ │ │ │ │ └── IPopulation.cs │ │ │ │ ├── Score │ │ │ │ │ ├── AdjustScore.cs │ │ │ │ │ └── Multi │ │ │ │ │ │ ├── ParallelScore.cs │ │ │ │ │ │ └── ParallelScoreTask.cs │ │ │ │ ├── Sort │ │ │ │ │ ├── AbstractGenomeComparer.cs │ │ │ │ │ ├── IGenomeComparer.cs │ │ │ │ │ ├── MaximizeAdjustedScoreComp.cs │ │ │ │ │ ├── MaximizeScoreComp.cs │ │ │ │ │ ├── MinimizeAdjustedScoreComp.cs │ │ │ │ │ ├── MinimizeScoreComp.cs │ │ │ │ │ ├── SortGenomesForSpecies.cs │ │ │ │ │ └── SpeciesComparer.cs │ │ │ │ ├── Species │ │ │ │ │ ├── BasicSpecies.cs │ │ │ │ │ ├── ISpeciation.cs │ │ │ │ │ ├── ISpecies.cs │ │ │ │ │ ├── SingleSpeciation.cs │ │ │ │ │ └── ThresholdSpeciation.cs │ │ │ │ └── Train │ │ │ │ │ ├── BasicEA.cs │ │ │ │ │ ├── EAWorker.cs │ │ │ │ │ └── IEvolutionaryAlgorithm.cs │ │ │ ├── General │ │ │ │ ├── Collections │ │ │ │ │ ├── ChooseObject.cs │ │ │ │ │ └── ObjectHolder.cs │ │ │ │ ├── Data │ │ │ │ │ └── BasicData.cs │ │ │ │ ├── Fns │ │ │ │ │ ├── AbstractRBF.cs │ │ │ │ │ ├── GaussianFunction.cs │ │ │ │ │ ├── IFn.cs │ │ │ │ │ ├── IFnRBF.cs │ │ │ │ │ ├── InverseMultiquadricFunction.cs │ │ │ │ │ ├── Link │ │ │ │ │ │ ├── IdentityLinkFunction.cs │ │ │ │ │ │ ├── InverseLinkFunction.cs │ │ │ │ │ │ ├── InverseSquaredLinkFunction.cs │ │ │ │ │ │ ├── LogLinkFunction.cs │ │ │ │ │ │ └── LogitLinkFunction.cs │ │ │ │ │ ├── MexicanHatFunction.cs │ │ │ │ │ └── MultiquadricFunction.cs │ │ │ │ ├── VectorAlgebra.cs │ │ │ │ └── VectorUtil.cs │ │ │ ├── Genetic │ │ │ │ ├── Crossover │ │ │ │ │ ├── Splice.cs │ │ │ │ │ └── SpliceNoRepeat.cs │ │ │ │ ├── Genome │ │ │ │ │ ├── DoubleArrayGenome.cs │ │ │ │ │ ├── DoubleArrayGenomeFactory.cs │ │ │ │ │ ├── IArrayGenome.cs │ │ │ │ │ ├── IntegerArrayGenome.cs │ │ │ │ │ └── IntegerArrayGenomeFactory.cs │ │ │ │ ├── Mutate │ │ │ │ │ ├── MutatePerturb.cs │ │ │ │ │ └── MutateShuffle.cs │ │ │ │ ├── Species │ │ │ │ │ ├── ArraySpeciation.cs │ │ │ │ │ └── TreeSpeciation.cs │ │ │ │ └── Trees │ │ │ │ │ ├── CrossoverTree.cs │ │ │ │ │ ├── EvaluateTree.cs │ │ │ │ │ ├── MutateTree.cs │ │ │ │ │ ├── RandomNodeResult.cs │ │ │ │ │ ├── TreeGenome.cs │ │ │ │ │ ├── TreeGenomeFactory.cs │ │ │ │ │ └── TreeGenomeNode.cs │ │ │ ├── Learning │ │ │ │ ├── IClassificationAlgorithm.cs │ │ │ │ ├── ILearningMethod.cs │ │ │ │ ├── IMLContext.cs │ │ │ │ ├── IMLMethod.cs │ │ │ │ ├── IRegressionAlgorithm.cs │ │ │ │ ├── RBFNetwork.cs │ │ │ │ ├── RBFNetworkGenomeCODEC.cs │ │ │ │ ├── Score │ │ │ │ │ ├── IScoreFunction.cs │ │ │ │ │ ├── ScoreClassificationData.cs │ │ │ │ │ └── ScoreRegressionData.cs │ │ │ │ └── TrainPSO.cs │ │ │ ├── Normalize │ │ │ │ ├── DataSet.cs │ │ │ │ └── Equilateral.cs │ │ │ └── Randomize │ │ │ │ ├── AbstractBoxMuller.cs │ │ │ │ ├── AbstractGenerateRandom.cs │ │ │ │ ├── BasicGenerateRandom.cs │ │ │ │ ├── IGenerateRandom.cs │ │ │ │ ├── IRandomFactory.cs │ │ │ │ ├── LinearCongruentialRandom.cs │ │ │ │ ├── MersenneTwisterFactory.cs │ │ │ │ ├── MersenneTwisterGenerateRandom.cs │ │ │ │ ├── MultiplyWithCarryGenerateRandom.cs │ │ │ │ ├── RandomChoice.cs │ │ │ │ └── SecureGenerateRandom.cs │ │ ├── Properties │ │ │ └── AssemblyInfo.cs │ │ └── packages.config │ ├── AIFH-Vol2-ECA │ │ ├── AIFH-Vol2-ECA.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol2-Flocking │ │ ├── AIFH-Vol2-Flocking.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ ├── Particle.cs │ │ └── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ ├── AIFH-Vol2-MergePhysics │ │ ├── AIFH-Vol2-MergePhysics.csproj │ │ ├── App.config │ │ ├── App.xaml │ │ ├── App.xaml.cs │ │ ├── MainWindow.xaml │ │ ├── MainWindow.xaml.cs │ │ ├── Physics │ │ │ ├── IPhysics.cs │ │ │ └── MergePhysics.cs │ │ ├── Properties │ │ │ ├── AssemblyInfo.cs │ │ │ ├── Resources.Designer.cs │ │ │ ├── Resources.resx │ │ │ ├── Settings.Designer.cs │ │ │ └── Settings.settings │ │ ├── Universe │ │ │ ├── UniverseCell.cs │ │ │ ├── UniverseHolder.cs │ │ │ ├── UniverseRunner.cs │ │ │ └── UniverseVisualizer.cs │ │ └── Viewer │ │ │ ├── ConfigDialog.xaml │ │ │ ├── ConfigDialog.xaml.cs │ │ │ ├── DisplaySingle.xaml │ │ │ ├── DisplaySingle.xaml.cs │ │ │ └── UniverseDisplayCell.cs │ ├── AIFH-Vol2.sln │ ├── AIFH-Vol2 │ │ ├── AIFH-Vol2.csproj │ │ ├── App.config │ │ ├── ExampleHolder.cs │ │ ├── Examples │ │ │ ├── ACO │ │ │ │ ├── ExampleTrainIrisACO.cs │ │ │ │ └── TSPExampleACO.cs │ │ │ ├── Capstone │ │ │ │ └── Model │ │ │ │ │ ├── Milestone1 │ │ │ │ │ ├── CalcHistogram.cs │ │ │ │ │ ├── CalcMean.cs │ │ │ │ │ ├── CalcSurvival.cs │ │ │ │ │ ├── NormalizeTitanic.cs │ │ │ │ │ └── TitanicStats.cs │ │ │ │ │ ├── Milestone2 │ │ │ │ │ ├── CrossValidate.cs │ │ │ │ │ ├── CrossValidateFold.cs │ │ │ │ │ ├── FitTitanic.cs │ │ │ │ │ └── ScoreTitanic.cs │ │ │ │ │ ├── Milestone3 │ │ │ │ │ └── SubmitTitanic.cs │ │ │ │ │ └── TitanicConfig.cs │ │ │ ├── GA │ │ │ │ ├── Iris │ │ │ │ │ ├── ModelIris.cs │ │ │ │ │ └── ModelSpeciationIris.cs │ │ │ │ └── TSP │ │ │ │ │ ├── City.cs │ │ │ │ │ ├── GeneticTSPExample.cs │ │ │ │ │ └── TSPScore.cs │ │ │ ├── GP │ │ │ │ ├── EvaluateExpression.cs │ │ │ │ ├── FindEquation.cs │ │ │ │ └── ScoreSmallExpression.cs │ │ │ ├── Operations │ │ │ │ ├── CrossoverExample.cs │ │ │ │ └── MutateExample.cs │ │ │ ├── Selection │ │ │ │ ├── NullScore.cs │ │ │ │ └── TournamentCompareExample.cs │ │ │ ├── Swarm │ │ │ │ └── PSO │ │ │ │ │ └── IrisPSOExample.cs │ │ │ └── Util │ │ │ │ └── SimpleLearn.cs │ │ ├── Program.cs │ │ ├── Properties │ │ │ └── AssemblyInfo.cs │ │ ├── Resources │ │ │ ├── iris.csv │ │ │ └── simple-poly.csv │ │ └── packages.config │ └── README.md ├── vol2-java-examples │ ├── .gitignore │ ├── README.md │ ├── README.txt │ ├── build.gradle │ ├── gradle │ │ └── wrapper │ │ │ ├── gradle-wrapper.jar │ │ │ └── gradle-wrapper.properties │ ├── gradlew │ ├── gradlew.bat │ ├── sample.dat │ └── src │ │ └── main │ │ ├── java │ │ └── com │ │ │ └── heatonresearch │ │ │ └── aifh │ │ │ ├── AIFH.java │ │ │ ├── AIFHError.java │ │ │ ├── aco │ │ │ ├── ContinuousACO.java │ │ │ ├── ContinuousAnt.java │ │ │ ├── CostGraph.java │ │ │ ├── DiscreteACO.java │ │ │ └── DiscreteAnt.java │ │ │ ├── distance │ │ │ ├── AbstractDistance.java │ │ │ ├── CalculateDistance.java │ │ │ ├── ChebyshevDistance.java │ │ │ ├── EuclideanDistance.java │ │ │ ├── ManhattanDistance.java │ │ │ └── package-info.java │ │ │ ├── error │ │ │ ├── AbstractErrorCalculation.java │ │ │ ├── ErrorCalculation.java │ │ │ ├── ErrorCalculationMSE.java │ │ │ ├── ErrorCalculationRMS.java │ │ │ ├── ErrorCalculationSSE.java │ │ │ └── package-info.java │ │ │ ├── evolutionary │ │ │ ├── codec │ │ │ │ ├── GeneticCODEC.java │ │ │ │ └── GenomeAsPhenomeCODEC.java │ │ │ ├── genome │ │ │ │ ├── BasicGenome.java │ │ │ │ ├── Genome.java │ │ │ │ └── GenomeFactory.java │ │ │ ├── opp │ │ │ │ ├── CompoundOperator.java │ │ │ │ ├── EvolutionaryOperator.java │ │ │ │ ├── OperationList.java │ │ │ │ └── selection │ │ │ │ │ ├── SelectionOperator.java │ │ │ │ │ ├── TournamentSelection.java │ │ │ │ │ └── TruncationSelection.java │ │ │ ├── population │ │ │ │ ├── BasicPopulation.java │ │ │ │ ├── Population.java │ │ │ │ ├── PopulationGenerator.java │ │ │ │ └── package-info.java │ │ │ ├── score │ │ │ │ ├── AdjustScore.java │ │ │ │ ├── EmptyScoreFunction.java │ │ │ │ └── parallel │ │ │ │ │ ├── ParallelScore.java │ │ │ │ │ └── ParallelScoreTask.java │ │ │ ├── sort │ │ │ │ ├── AbstractGenomeComparator.java │ │ │ │ ├── GenomeComparator.java │ │ │ │ ├── MaximizeAdjustedScoreComp.java │ │ │ │ ├── MaximizeScoreComp.java │ │ │ │ ├── MinimizeAdjustedScoreComp.java │ │ │ │ ├── MinimizeScoreComp.java │ │ │ │ ├── SortGenomesForSpecies.java │ │ │ │ └── SpeciesComparator.java │ │ │ ├── species │ │ │ │ ├── BasicSpecies.java │ │ │ │ ├── SingleSpeciation.java │ │ │ │ ├── Speciation.java │ │ │ │ ├── Species.java │ │ │ │ └── ThresholdSpeciation.java │ │ │ └── train │ │ │ │ ├── EvolutionaryAlgorithm.java │ │ │ │ └── basic │ │ │ │ ├── BasicEA.java │ │ │ │ └── EAWorker.java │ │ │ ├── examples │ │ │ ├── aco │ │ │ │ ├── ExampleTrainIrisACO.java │ │ │ │ └── TSPExampleACO.java │ │ │ ├── ca │ │ │ │ ├── ConwayCA.java │ │ │ │ ├── ElementaryCA.java │ │ │ │ └── mergelife │ │ │ │ │ ├── physics │ │ │ │ │ ├── MergePhysics.java │ │ │ │ │ └── Physics.java │ │ │ │ │ ├── universe │ │ │ │ │ ├── AdvanceTask.java │ │ │ │ │ ├── Universe.java │ │ │ │ │ ├── UniverseCell.java │ │ │ │ │ ├── UniverseRunner.java │ │ │ │ │ └── UniverseVisualizer.java │ │ │ │ │ └── viewer │ │ │ │ │ ├── ConfigData.java │ │ │ │ │ ├── ConfigDialog.java │ │ │ │ │ ├── DisplayPanel.java │ │ │ │ │ ├── MultiverseViewer.java │ │ │ │ │ ├── PanePopup.java │ │ │ │ │ ├── SingularUniverseViewer.java │ │ │ │ │ └── UniversePane.java │ │ │ ├── capstone │ │ │ │ ├── alife │ │ │ │ │ ├── milestone1 │ │ │ │ │ │ ├── DisplayPlant.java │ │ │ │ │ │ ├── Milestone1Main.java │ │ │ │ │ │ ├── PlantUniverse.java │ │ │ │ │ │ └── PlantUniverseCell.java │ │ │ │ │ ├── milestone2 │ │ │ │ │ │ ├── Milestone2Main.java │ │ │ │ │ │ ├── PlantGrowth.java │ │ │ │ │ │ └── PlantPhysics.java │ │ │ │ │ └── milestone3 │ │ │ │ │ │ ├── Milestone3Main.java │ │ │ │ │ │ └── PlantScore.java │ │ │ │ └── model │ │ │ │ │ ├── TitanicConfig.java │ │ │ │ │ ├── milestone1 │ │ │ │ │ ├── CalcHistogram.java │ │ │ │ │ ├── CalcMean.java │ │ │ │ │ ├── CalcSurvival.java │ │ │ │ │ ├── NormalizeTitanic.java │ │ │ │ │ └── TitanicStats.java │ │ │ │ │ ├── milestone2 │ │ │ │ │ ├── CrossValidate.java │ │ │ │ │ ├── CrossValidateFold.java │ │ │ │ │ ├── FitTitanic.java │ │ │ │ │ └── ScoreTitanic.java │ │ │ │ │ └── milestone3 │ │ │ │ │ └── SubmitTitanic.java │ │ │ ├── ga │ │ │ │ ├── iris │ │ │ │ │ ├── ModelIris.java │ │ │ │ │ └── ModelSpeciationIris.java │ │ │ │ └── tsp │ │ │ │ │ ├── City.java │ │ │ │ │ ├── GeneticTSPExample.java │ │ │ │ │ └── TSPScore.java │ │ │ ├── gp │ │ │ │ ├── EvaluateExpression.java │ │ │ │ ├── FindEquation.java │ │ │ │ └── ScoreSmallExpression.java │ │ │ ├── intro │ │ │ │ ├── CSVExample.java │ │ │ │ └── package-info.java │ │ │ ├── operations │ │ │ │ ├── CrossoverExample.java │ │ │ │ └── MutateExample.java │ │ │ ├── package-info.java │ │ │ ├── selection │ │ │ │ └── TournamentCompareExample.java │ │ │ ├── swarm │ │ │ │ ├── flock │ │ │ │ │ ├── Flock2dWindow.java │ │ │ │ │ └── Particle.java │ │ │ │ └── pso │ │ │ │ │ └── IrisPSOExample.java │ │ │ └── util │ │ │ │ ├── FormatNumeric.java │ │ │ │ ├── SimpleLearn.java │ │ │ │ └── WorldPanel.java │ │ │ ├── general │ │ │ ├── VectorAlgebra.java │ │ │ ├── VectorUtil.java │ │ │ ├── collections │ │ │ │ ├── ChooseObject.java │ │ │ │ └── ObjectHolder.java │ │ │ ├── data │ │ │ │ ├── BasicData.java │ │ │ │ └── package-info.java │ │ │ ├── fns │ │ │ │ ├── AbstractRBF.java │ │ │ │ ├── Fn.java │ │ │ │ ├── FnRBF.java │ │ │ │ ├── GaussianFunction.java │ │ │ │ ├── InverseMultiquadricFunction.java │ │ │ │ ├── MexicanHatFunction.java │ │ │ │ ├── MultiquadricFunction.java │ │ │ │ ├── link │ │ │ │ │ ├── IdentityLinkFunction.java │ │ │ │ │ ├── InverseLinkFunction.java │ │ │ │ │ ├── InverseSquaredLinkFunction.java │ │ │ │ │ ├── LogLinkFunction.java │ │ │ │ │ ├── LogitLinkFunction.java │ │ │ │ │ └── package-info.java │ │ │ │ └── package-info.java │ │ │ └── package-info.java │ │ │ ├── genetic │ │ │ ├── crossover │ │ │ │ ├── Splice.java │ │ │ │ ├── SpliceNoRepeat.java │ │ │ │ └── package-info.java │ │ │ ├── genome │ │ │ │ ├── ArrayGenome.java │ │ │ │ ├── DoubleArrayGenome.java │ │ │ │ ├── DoubleArrayGenomeFactory.java │ │ │ │ ├── IntegerArrayGenome.java │ │ │ │ ├── IntegerArrayGenomeFactory.java │ │ │ │ └── package-info.java │ │ │ ├── mutate │ │ │ │ ├── MutatePerturb.java │ │ │ │ ├── MutateShuffle.java │ │ │ │ └── package-info.java │ │ │ ├── species │ │ │ │ ├── ArraySpeciation.java │ │ │ │ └── TreeSpeciation.java │ │ │ └── trees │ │ │ │ ├── CrossoverTree.java │ │ │ │ ├── EvaluateTree.java │ │ │ │ ├── MutateTree.java │ │ │ │ ├── RandomNodeResult.java │ │ │ │ ├── TreeGenome.java │ │ │ │ ├── TreeGenomeFactory.java │ │ │ │ └── TreeGenomeNode.java │ │ │ ├── learning │ │ │ ├── ClassificationAlgorithm.java │ │ │ ├── LearningMethod.java │ │ │ ├── MLContext.java │ │ │ ├── MLMethod.java │ │ │ ├── RBFNetwork.java │ │ │ ├── RBFNetworkGenomeCODEC.java │ │ │ ├── RegressionAlgorithm.java │ │ │ ├── TrainPSO.java │ │ │ └── score │ │ │ │ ├── ScoreClassificationData.java │ │ │ │ ├── ScoreFunction.java │ │ │ │ └── ScoreRegressionData.java │ │ │ ├── normalize │ │ │ ├── DataSet.java │ │ │ ├── Equilateral.java │ │ │ └── package-info.java │ │ │ ├── package-info.java │ │ │ └── randomize │ │ │ ├── AbstractBoxMuller.java │ │ │ ├── AbstractGenerateRandom.java │ │ │ ├── BasicGenerateRandom.java │ │ │ ├── GenerateRandom.java │ │ │ ├── LinearCongruentialRandom.java │ │ │ ├── MersenneTwisterFactory.java │ │ │ ├── MersenneTwisterGenerateRandom.java │ │ │ ├── MultiplyWithCarryGenerateRandom.java │ │ │ ├── RandomChoice.java │ │ │ ├── RandomFactory.java │ │ │ ├── SecureGenerateRandom.java │ │ │ └── package-info.java │ │ └── resources │ │ ├── abalone.csv │ │ ├── breast-cancer-wisconsin.csv │ │ ├── iris.csv │ │ └── simple-poly.csv ├── vol2-python-examples │ ├── README.md │ ├── README.txt │ ├── datasets │ │ ├── iris.csv │ │ └── simple-poly.csv │ ├── examples │ │ ├── Equilateral.py │ │ ├── __init__.py │ │ ├── capstone_alife │ │ │ ├── __init__.py │ │ │ ├── alife_milestone1.py │ │ │ ├── alife_milestone2.py │ │ │ ├── alife_milestone3.py │ │ │ ├── run_milestone1.py │ │ │ ├── run_milestone2.py │ │ │ └── run_milestone3.py │ │ ├── capstone_titanic │ │ │ ├── __init__.py │ │ │ ├── run_milestone1.py │ │ │ ├── run_milestone2.py │ │ │ ├── run_milestone3.py │ │ │ ├── titanic_milestone1.py │ │ │ ├── titanic_milestone2.py │ │ │ └── titanic_milestone3.py │ │ ├── example_aco_iris.py │ │ ├── example_aco_tsp.py │ │ ├── example_conway.py │ │ ├── example_crossover.py │ │ ├── example_eca.py │ │ ├── example_flock.py │ │ ├── example_genetic_iris.py │ │ ├── example_genetic_tsp.py │ │ ├── example_gp.py │ │ ├── example_mutate.py │ │ ├── example_pso_iris.py │ │ ├── example_tournament_compare.py │ │ └── tree.png │ └── lib │ │ ├── __init__.py │ │ └── aifh │ │ ├── __init__.py │ │ ├── aco.py │ │ ├── aifh_error.py │ │ ├── error.py │ │ ├── genetic.py │ │ ├── normalize.py │ │ ├── pso.py │ │ ├── rbf.py │ │ └── rbf_network.py └── vol2-scala-examples │ ├── .gitignore │ ├── README.md │ ├── README.txt │ ├── build.sbt │ ├── sample.dat │ └── src │ └── main │ ├── resources │ ├── abalone.csv │ ├── breast-cancer-wisconsin.csv │ ├── iris.csv │ └── simple-poly.csv │ └── scala │ └── com │ └── heatonresearch │ └── aifh │ ├── AIFH.scala │ ├── AIFHError.scala │ ├── aco │ ├── ContinuousACO.scala │ ├── ContinuousAnt.scala │ ├── CostGraph.scala │ ├── DiscreteACO.scala │ └── DiscreteAnt.scala │ ├── distance │ ├── AbstractDistance.scala │ ├── CalculateDistance.scala │ ├── ChebyshevDistance.scala │ ├── EuclideanDistance.scala │ └── ManhattanDistance.scala │ ├── error │ ├── AbstractErrorCalculation.scala │ ├── ErrorCalculation.scala │ ├── ErrorCalculationMSE.scala │ ├── ErrorCalculationRMS.scala │ └── ErrorCalculationSSE.scala │ ├── evolutionary │ ├── codec │ │ ├── GeneticCODEC.scala │ │ └── GenomeAsPhenomeCODEC.scala │ ├── genome │ │ ├── BasicGenome.scala │ │ ├── Genome.scala │ │ └── GenomeFactory.scala │ ├── opp │ │ ├── EvolutionaryOperator.scala │ │ ├── OperationList.scala │ │ └── selection │ │ │ ├── SelectionOperator.scala │ │ │ ├── TournamentSelection.scala │ │ │ └── TruncationSelection.scala │ ├── population │ │ ├── BasicPopulation.scala │ │ ├── Population.scala │ │ └── PopulationGenerator.scala │ ├── score │ │ ├── AdjustScore.scala │ │ ├── EmptyScoreFunction.scala │ │ └── parallel │ │ │ ├── ParallelScore.scala │ │ │ └── ParallelScoreTask.scala │ ├── sort │ │ ├── AbstractGenomeComparator.scala │ │ ├── GenomeComparator.scala │ │ ├── MaximizeAdjustedScoreComp.scala │ │ ├── MaximizeScoreComp.scala │ │ ├── MinimizeAdjustedScoreComp.scala │ │ ├── MinimizeScoreComp.scala │ │ ├── SortGenomesForSpecies.scala │ │ └── SpeciesComparator.scala │ ├── species │ │ ├── BasicSpecies.scala │ │ ├── SingleSpeciation.scala │ │ ├── Speciation.scala │ │ ├── Species.scala │ │ └── ThresholdSpeciation.scala │ └── train │ │ ├── EvolutionaryAlgorithm.scala │ │ └── basic │ │ ├── BasicEA.scala │ │ └── EAWorker.scala │ ├── examples │ ├── aco │ │ ├── ExampleTrainIrisACO.scala │ │ └── TSPExampleACO.scala │ ├── ca │ │ ├── ConwayCA.scala │ │ ├── ElementaryCA.scala │ │ └── mergelife │ │ │ ├── physics │ │ │ ├── MergePhysics.scala │ │ │ └── Physics.scala │ │ │ ├── universe │ │ │ ├── AdvanceTask.scala │ │ │ ├── Universe.scala │ │ │ ├── UniverseCell.scala │ │ │ ├── UniverseRunner.scala │ │ │ └── UniverseVisualizer.scala │ │ │ └── viewer │ │ │ ├── ConfigData.scala │ │ │ ├── ConfigDialog.scala │ │ │ ├── DisplayPanel.scala │ │ │ ├── MultiverseViewer.scala │ │ │ ├── PanePopup.scala │ │ │ ├── SingularUniverseViewer.scala │ │ │ └── UniversePane.scala │ ├── capstone │ │ ├── alife │ │ │ ├── milestone1 │ │ │ │ ├── DisplayPlant.scala │ │ │ │ ├── Milestone1Main.scala │ │ │ │ ├── PlantUniverse.scala │ │ │ │ └── PlantUniverseCell.scala │ │ │ ├── milestone2 │ │ │ │ ├── Milestone2Main.scala │ │ │ │ ├── PlantGrowth.scala │ │ │ │ └── PlantPhysics.scala │ │ │ └── milestone3 │ │ │ │ ├── Milestone3Main.scala │ │ │ │ └── PlantScore.scala │ │ └── model │ │ │ ├── TitanicConfig.scala │ │ │ ├── milestone1 │ │ │ ├── CalcHistogram.scala │ │ │ ├── CalcMean.scala │ │ │ ├── CalcSurvival.scala │ │ │ ├── NormalizeTitanic.scala │ │ │ └── TitanicStats.scala │ │ │ ├── milestone2 │ │ │ ├── CrossValidate.scala │ │ │ ├── CrossValidateFold.scala │ │ │ ├── FitTitanic.scala │ │ │ └── ScoreTitanic.scala │ │ │ └── milestone3 │ │ │ └── SubmitTitanic.scala │ ├── ga │ │ ├── iris │ │ │ ├── ModelIris.scala │ │ │ └── ModelSpeciationIris.scala │ │ └── tsp │ │ │ ├── City.scala │ │ │ ├── GeneticTSPExample.scala │ │ │ └── TSPScore.scala │ ├── gp │ │ ├── EvaluateExpression.scala │ │ └── FindEquation.scala │ ├── intro │ │ └── CSVExample.scala │ ├── operations │ │ ├── CrossoverExample.scala │ │ └── MutateExample.scala │ ├── selection │ │ └── TournamentCompareExample.scala │ ├── swarm │ │ ├── flock │ │ │ ├── Flock2dWindow.scala │ │ │ └── Particle.scala │ │ └── pso │ │ │ └── IrisPSOExample.scala │ └── util │ │ ├── FormatNumeric.scala │ │ ├── SimpleLearn.scala │ │ └── WorldPanel.scala │ ├── general │ ├── VectorAlgebra.scala │ ├── VectorUtil.scala │ ├── collections │ │ ├── ChooseObject.scala │ │ └── ObjectHolder.scala │ ├── data │ │ └── BasicData.scala │ └── fns │ │ ├── AbstractRBF.scala │ │ ├── Fn.scala │ │ ├── FnRBF.scala │ │ ├── GaussianFunction.scala │ │ ├── InverseMultiquadricFunction.scala │ │ ├── MexicanHatFunction.scala │ │ ├── MultiquadricFunction.scala │ │ └── link │ │ ├── IdentityLinkFunction.scala │ │ ├── InverseLinkFunction.scala │ │ ├── InverseSquaredLinkFunction.scala │ │ ├── LogLinkFunction.scala │ │ └── LogitLinkFunction.scala │ ├── genetic │ ├── crossover │ │ ├── Splice.scala │ │ └── SpliceNoRepeat.scala │ ├── genome │ │ ├── ArrayGenome.scala │ │ ├── DoubleArrayGenome.scala │ │ ├── DoubleArrayGenomeFactory.scala │ │ ├── IntegerArrayGenome.scala │ │ └── IntegerArrayGenomeFactory.scala │ ├── mutate │ │ ├── MutatePerturb.scala │ │ └── MutateShuffle.scala │ ├── species │ │ ├── ArraySpeciation.scala │ │ └── TreeSpeciation.scala │ └── trees │ │ ├── CrossoverTree.scala │ │ ├── EvaluateTree.scala │ │ ├── MutateTree.scala │ │ ├── RandomNodeResult.scala │ │ ├── TreeGenome.scala │ │ ├── TreeGenomeFactory.scala │ │ └── TreeGenomeNode.scala │ ├── learning │ ├── ClassificationAlgorithm.scala │ ├── LearningMethod.scala │ ├── MLContext.scala │ ├── MLMethod.scala │ ├── RBFNetwork.scala │ ├── RBFNetworkGenomeCODEC.scala │ ├── RegressionAlgorithm.scala │ ├── TrainPSO.scala │ └── score │ │ ├── ScoreClassificationData.scala │ │ ├── ScoreFunction.scala │ │ └── ScoreRegressionData.scala │ ├── normalize │ ├── DataSet.scala │ └── Equilateral.scala │ └── randomize │ ├── AbstractBoxMuller.scala │ ├── AbstractGenerateRandom.scala │ ├── BasicGenerateRandom.scala │ ├── GenerateRandom.scala │ ├── LinearCongruentialRandom.scala │ ├── MersenneTwisterFactory.scala │ ├── MersenneTwisterGenerateRandom.scala │ ├── MultiplyWithCarryGenerateRandom.scala │ ├── RandomChoice.scala │ ├── RandomFactory.scala │ └── SecureGenerateRandom.scala └── vol3 ├── README.md ├── aifh_vol3.pdf ├── aifh_vol3.rmd ├── misc └── nations │ ├── README.txt │ ├── build_nations.py │ ├── countries.txt │ ├── gdp.txt │ ├── lifespan.txt │ ├── lit.txt │ └── nations.csv ├── vol3-csharp-examples ├── AIFH-Vol3-Core │ ├── AIFH-Vol3-Core.csproj │ ├── Class1.cs │ ├── Core │ │ ├── AIFH.cs │ │ ├── AIFHError.cs │ │ ├── ANN │ │ │ ├── Activation │ │ │ │ ├── ActivationLinear.cs │ │ │ │ ├── ActivationReLU.cs │ │ │ │ ├── ActivationSigmoid.cs │ │ │ │ ├── ActivationSoftMax.cs │ │ │ │ ├── ActivationTANH.cs │ │ │ │ └── IActivationFunction.cs │ │ │ ├── BasicLayer.cs │ │ │ ├── BasicNetwork.cs │ │ │ ├── Conv2DLayer.cs │ │ │ ├── DropoutLayer.cs │ │ │ ├── ILayer.cs │ │ │ ├── MaxPoolLayer.cs │ │ │ ├── Randomize │ │ │ │ ├── AbstractRandomizeNetwork.cs │ │ │ │ ├── IRandomizeNetwork.cs │ │ │ │ ├── RangeRandomizeNetwork.cs │ │ │ │ └── XaiverRandomizeNetwork.cs │ │ │ ├── TempStructureCounts.cs │ │ │ ├── Train │ │ │ │ ├── BackPropagation.cs │ │ │ │ ├── Error │ │ │ │ │ ├── CrossEntropyErrorFunction.cs │ │ │ │ │ ├── IErrorFunction.cs │ │ │ │ │ └── OutputErrorFunction.cs │ │ │ │ ├── GradientCalc.cs │ │ │ │ ├── IGradientCalcOwner.cs │ │ │ │ └── ResilientPropagation.cs │ │ │ └── WeightedLayer.cs │ │ ├── DBNN │ │ │ ├── DeepBeliefNetwork.cs │ │ │ ├── DeepLayer.cs │ │ │ ├── HiddenLayer.cs │ │ │ ├── RestrictedBoltzmannMachine.cs │ │ │ ├── SupervisedTrainDBN.cs │ │ │ └── UnsupervisedTrainDBN.cs │ │ ├── Distance │ │ │ ├── AbstractDistance.cs │ │ │ ├── ChebyshevDistance.cs │ │ │ ├── EuclideanDistance.cs │ │ │ ├── ICalculateDistance.cs │ │ │ └── ManhattanDistance.cs │ │ ├── Energetic │ │ │ ├── BoltzmannMachine.cs │ │ │ ├── EnergeticNetwork.cs │ │ │ ├── HopfieldNetwork.cs │ │ │ ├── TrainHopfieldHebbian.cs │ │ │ └── TrainHopfieldStorkey.cs │ │ ├── Error │ │ │ ├── AbstractErrorCalculation.cs │ │ │ ├── ErrorCalculationMSE.cs │ │ │ ├── ErrorCalculationRMS.cs │ │ │ ├── ErrorCalculationSSE.cs │ │ │ └── IErrorCalculation.cs │ │ ├── General │ │ │ ├── Data │ │ │ │ ├── BasicData.cs │ │ │ │ ├── DataUtil.cs │ │ │ │ ├── ErrorCalculation.cs │ │ │ │ └── TimeSeriesUtil.cs │ │ │ ├── Fns │ │ │ │ ├── AbstractRBF.cs │ │ │ │ ├── GaussianFunction.cs │ │ │ │ ├── IFn.cs │ │ │ │ ├── IFnRBF.cs │ │ │ │ ├── InverseMultiquadricFunction.cs │ │ │ │ ├── MexicanHatFunction.cs │ │ │ │ └── MultiquadricFunction.cs │ │ │ ├── VectorAlgebra.cs │ │ │ └── VectorUtil.cs │ │ ├── Learning │ │ │ ├── IClassificationAlgorithm.cs │ │ │ ├── ILearningMethod.cs │ │ │ ├── IMLContext.cs │ │ │ ├── IMLMethod.cs │ │ │ ├── IRegressionAlgorithm.cs │ │ │ ├── RBFNetwork.cs │ │ │ ├── Score │ │ │ │ ├── IScoreFunction.cs │ │ │ │ ├── ScoreClassificationData.cs │ │ │ │ └── ScoreRegressionData.cs │ │ │ └── TrainAnneal.cs │ │ ├── Normalize │ │ │ ├── DataSet.cs │ │ │ └── Equilateral.cs │ │ ├── Randomize │ │ │ ├── AbstractBoxMuller.cs │ │ │ ├── AbstractGenerateRandom.cs │ │ │ ├── BasicGenerateRandom.cs │ │ │ ├── IGenerateRandom.cs │ │ │ ├── IRandomFactory.cs │ │ │ ├── LinearCongruentialRandom.cs │ │ │ ├── MersenneTwisterFactory.cs │ │ │ ├── MersenneTwisterGenerateRandom.cs │ │ │ ├── MultiplyWithCarryGenerateRandom.cs │ │ │ ├── RandomChoice.cs │ │ │ └── SecureGenerateRandom.cs │ │ ├── SOM │ │ │ ├── BestMatchingUnit.cs │ │ │ ├── Neighborhood │ │ │ │ ├── INeighborhoodFunction.cs │ │ │ │ ├── NeighborhoodBubble.cs │ │ │ │ ├── NeighborhoodRBF.cs │ │ │ │ ├── NeighborhoodRBF1D.cs │ │ │ │ └── NeighborhoodSingle.cs │ │ │ ├── SelfOrganizingMap.cs │ │ │ └── Train │ │ │ │ └── BasicTrainSOM.cs │ │ ├── Selection │ │ │ ├── CategorySearchAxis.cs │ │ │ ├── GridModelSelection.cs │ │ │ ├── ISearchAxis.cs │ │ │ ├── ModelSelection.cs │ │ │ ├── NumericSearchAxis.cs │ │ │ └── RandomModelSelection.cs │ │ └── Util │ │ │ ├── ArrayUtil.cs │ │ │ ├── FileUtil.cs │ │ │ └── MNISTReader.cs │ ├── Properties │ │ └── AssemblyInfo.cs │ └── packages.config ├── AIFH-Vol3.sln ├── AIFH-Vol3 │ ├── AIFH-Vol3.csproj │ ├── App.config │ ├── ExampleHolder.cs │ ├── Examples │ │ ├── ANN │ │ │ ├── LearnAutoMPGBackprop.cs │ │ │ ├── LearnDigitsBackprop.cs │ │ │ ├── LearnDigitsConv.cs │ │ │ ├── LearnDigitsDropout.cs │ │ │ ├── LearnIrisAnneal.cs │ │ │ ├── LearnIrisBackprop.cs │ │ │ ├── LearnXORBackprop.cs │ │ │ └── LearnXORRPROP.cs │ │ ├── Classic │ │ │ ├── Boltzmann │ │ │ │ └── TSP │ │ │ │ │ └── BoltzTSP.cs │ │ │ ├── HopfieldAssociate │ │ │ │ ├── HopfieldAssociateHebbian.cs │ │ │ │ └── HopfieldAssociateStorkey.cs │ │ │ └── Logic │ │ │ │ ├── Connection.cs │ │ │ │ ├── INeuron.cs │ │ │ │ ├── InputNeuron.cs │ │ │ │ ├── LogicExample.cs │ │ │ │ └── RegularNeuron.cs │ │ ├── DBN │ │ │ └── SimpleDBN.cs │ │ ├── Intro │ │ │ └── CSVExample.cs │ │ ├── Modeling │ │ │ └── KaggleOtto.cs │ │ ├── NEAT │ │ │ └── XORNEAT.cs │ │ ├── Search │ │ │ └── ListSearches.cs │ │ ├── SimpleLearn.cs │ │ └── Timeseries │ │ │ └── PredictSunspots.cs │ ├── Program.cs │ ├── Properties │ │ └── AssemblyInfo.cs │ ├── Resources │ │ ├── auto-mpg.data.csv │ │ ├── iris.csv │ │ ├── nations.csv │ │ └── sunspots.csv │ └── packages.config ├── HyperNEATBoxes │ ├── BoxTrialCase.cs │ ├── BoxesScore.cs │ ├── DisplayBoxes.xaml │ ├── DisplayBoxes.xaml.cs │ ├── HyperNEATBoxes.csproj │ ├── HyperNEATBoxes.xaml │ ├── HyperNEATBoxes.xaml.cs │ ├── IntPair.cs │ ├── MainWindow.xaml │ ├── MainWindow.xaml.cs │ ├── Properties │ │ ├── AssemblyInfo.cs │ │ ├── Resources.Designer.cs │ │ ├── Resources.resx │ │ ├── Settings.Designer.cs │ │ └── Settings.settings │ ├── TrialEvaluation.cs │ └── packages.config ├── README.md └── SOMColors │ ├── Program.cs │ ├── Properties │ ├── AssemblyInfo.cs │ ├── Resources.Designer.cs │ ├── Resources.resx │ └── Settings.Designer.cs │ ├── SOMColors.Designer.cs │ ├── SOMColors.cs │ ├── SOMColors.csproj │ ├── SOMColors.resx │ ├── app.config │ └── packages.config ├── vol3-dl4j-examples ├── README.md ├── build.gradle ├── gradle │ └── wrapper │ │ ├── gradle-wrapper.jar │ │ └── gradle-wrapper.properties ├── gradlew ├── gradlew.bat ├── out │ └── production │ │ └── vol3-java-examples │ │ ├── iris.csv │ │ └── nations.csv └── src │ └── main │ ├── java │ └── com │ │ └── heatonresearch │ │ └── aifh │ │ ├── AIFH.java │ │ ├── AIFHError.java │ │ ├── examples │ │ └── ann │ │ │ ├── LearnAutoMPGBackprop.java │ │ │ ├── LearnDigitsBackprop.java │ │ │ ├── LearnDigitsConv.java │ │ │ ├── LearnDigitsDropout.java │ │ │ ├── LearnIrisBackprop.java │ │ │ └── LearnXORBackprop.java │ │ ├── normalize │ │ ├── CategoryMap.java │ │ ├── Equilateral.java │ │ ├── NormalizeDataSet.java │ │ └── package-info.java │ │ └── util │ │ ├── ArrayUtil.java │ │ ├── FileUtil.java │ │ ├── MNIST.java │ │ └── MNISTReader.java │ └── resources │ ├── auto-mpg.data.csv │ ├── iris.csv │ ├── nations.csv │ └── sunspots.csv ├── vol3-java-examples ├── README.md ├── build.gradle ├── gradle │ └── wrapper │ │ ├── gradle-wrapper.jar │ │ └── gradle-wrapper.properties ├── gradlew ├── gradlew.bat ├── out │ └── production │ │ └── vol3-java-examples │ │ ├── iris.csv │ │ └── nations.csv └── src │ ├── main │ ├── java │ │ └── com │ │ │ └── heatonresearch │ │ │ └── aifh │ │ │ ├── AIFH.java │ │ │ ├── AIFHError.java │ │ │ ├── ann │ │ │ ├── BasicLayer.java │ │ │ ├── BasicNetwork.java │ │ │ ├── Layer.java │ │ │ ├── TempStructureCounts.java │ │ │ ├── WeightedLayer.java │ │ │ ├── activation │ │ │ │ ├── ActivationFunction.java │ │ │ │ ├── ActivationLinear.java │ │ │ │ ├── ActivationReLU.java │ │ │ │ ├── ActivationSigmoid.java │ │ │ │ ├── ActivationSoftMax.java │ │ │ │ └── ActivationTANH.java │ │ │ ├── randomize │ │ │ │ ├── AbstractRandomizeNetwork.java │ │ │ │ ├── RandomizeNetwork.java │ │ │ │ ├── RangeRandomizeNetwork.java │ │ │ │ └── XaiverRandomizeNetwork.java │ │ │ └── train │ │ │ │ ├── BackPropagation.java │ │ │ │ ├── GradientCalc.java │ │ │ │ ├── GradientCalcOwner.java │ │ │ │ ├── ResilientPropagation.java │ │ │ │ └── error │ │ │ │ ├── CrossEntropyErrorFunction.java │ │ │ │ ├── ErrorFunction.java │ │ │ │ └── OutputErrorFunction.java │ │ │ ├── dbnn │ │ │ ├── DeepBeliefNetwork.java │ │ │ ├── DeepLayer.java │ │ │ ├── HiddenLayer.java │ │ │ ├── RestrictedBoltzmannMachine.java │ │ │ ├── SupervisedTrainDBN.java │ │ │ └── UnsupervisedTrainDBN.java │ │ │ ├── distance │ │ │ ├── AbstractDistance.java │ │ │ ├── CalculateDistance.java │ │ │ ├── ChebyshevDistance.java │ │ │ ├── EuclideanDistance.java │ │ │ ├── ManhattanDistance.java │ │ │ └── package-info.java │ │ │ ├── energetic │ │ │ ├── BoltzmannMachine.java │ │ │ ├── EnergeticNetwork.java │ │ │ ├── HopfieldNetwork.java │ │ │ ├── TrainHopfieldHebbian.java │ │ │ └── TrainHopfieldStorkey.java │ │ │ ├── error │ │ │ ├── AbstractErrorCalculation.java │ │ │ ├── ErrorCalculation.java │ │ │ ├── ErrorCalculationMSE.java │ │ │ ├── ErrorCalculationRMS.java │ │ │ └── ErrorCalculationSSE.java │ │ │ ├── examples │ │ │ ├── ann │ │ │ │ ├── LearnAutoMPGBackprop.java │ │ │ │ ├── LearnDigitsBackprop.java │ │ │ │ ├── LearnDigitsConv.java │ │ │ │ ├── LearnDigitsDropout.java │ │ │ │ ├── LearnIrisBackprop.java │ │ │ │ ├── LearnXORBackprop.java │ │ │ │ └── LearnXORRPROP.java │ │ │ ├── classic │ │ │ │ ├── boltzmann │ │ │ │ │ └── tsp │ │ │ │ │ │ └── BoltzTSP.java │ │ │ │ ├── hopfield │ │ │ │ │ ├── HopfieldAssociateHebbian.java │ │ │ │ │ └── HopfieldAssociateStorkey.java │ │ │ │ ├── logic │ │ │ │ │ ├── Connection.java │ │ │ │ │ ├── InputNeuron.java │ │ │ │ │ ├── LogicExample.java │ │ │ │ │ ├── Neuron.java │ │ │ │ │ └── RegularNeuron.java │ │ │ │ └── som │ │ │ │ │ ├── cluster │ │ │ │ │ ├── ClusterNations.java │ │ │ │ │ └── HexPanel.java │ │ │ │ │ └── colors │ │ │ │ │ ├── MapPanel.java │ │ │ │ │ └── SomColors.java │ │ │ ├── dbn │ │ │ │ └── SimpleDBN.java │ │ │ ├── intro │ │ │ │ └── CSVExample.java │ │ │ ├── learning │ │ │ │ └── SimpleLearn.java │ │ │ ├── modeling │ │ │ │ └── KaggleOtto.java │ │ │ ├── neat │ │ │ │ ├── NEATXORExample.java │ │ │ │ └── hyperneat │ │ │ │ │ ├── BoxTrialCase.java │ │ │ │ │ ├── BoxesScore.java │ │ │ │ │ ├── DisplayBoxes.java │ │ │ │ │ ├── DisplayBoxesPanel.java │ │ │ │ │ ├── TrialEvaluation.java │ │ │ │ │ └── VisualizeBoxesMain.java │ │ │ ├── rbf │ │ │ │ ├── LearnIrisAnneal.java │ │ │ │ └── LearnIrisAnnealROC.java │ │ │ ├── search │ │ │ │ ├── IrisModelSearchGrid.java │ │ │ │ ├── ListSearches.java │ │ │ │ └── ModelSearchResults.java │ │ │ └── timeseries │ │ │ │ └── PredictSunspots.java │ │ │ ├── general │ │ │ ├── VectorAlgebra.java │ │ │ ├── VectorUtil.java │ │ │ ├── collections │ │ │ │ ├── ChooseObject.java │ │ │ │ └── ObjectHolder.java │ │ │ ├── data │ │ │ │ ├── BasicData.java │ │ │ │ ├── DataUtil.java │ │ │ │ ├── TimeSeriesUtil.java │ │ │ │ └── package-info.java │ │ │ ├── fns │ │ │ │ ├── AbstractRBF.java │ │ │ │ ├── Fn.java │ │ │ │ ├── FnRBF.java │ │ │ │ ├── GaussianFunction.java │ │ │ │ ├── InverseMultiquadricFunction.java │ │ │ │ ├── MexicanHatFunction.java │ │ │ │ ├── MultiquadricFunction.java │ │ │ │ ├── RBFEnum.java │ │ │ │ └── package-info.java │ │ │ └── package-info.java │ │ │ ├── learning │ │ │ ├── ClassificationAlgorithm.java │ │ │ ├── LearningMethod.java │ │ │ ├── MLContext.java │ │ │ ├── MLMethod.java │ │ │ ├── RBFNetwork.java │ │ │ ├── RegressionAlgorithm.java │ │ │ ├── TrainAnneal.java │ │ │ ├── TrainPSO.java │ │ │ └── score │ │ │ │ ├── ScoreClassificationData.java │ │ │ │ ├── ScoreFunction.java │ │ │ │ └── ScoreRegressionData.java │ │ │ ├── normalize │ │ │ ├── DataSet.java │ │ │ ├── Equilateral.java │ │ │ └── package-info.java │ │ │ ├── randomize │ │ │ ├── AbstractBoxMuller.java │ │ │ ├── AbstractGenerateRandom.java │ │ │ ├── BasicGenerateRandom.java │ │ │ ├── GenerateRandom.java │ │ │ ├── LinearCongruentialRandom.java │ │ │ ├── MersenneTwisterFactory.java │ │ │ ├── MersenneTwisterGenerateRandom.java │ │ │ ├── MultiplyWithCarryGenerateRandom.java │ │ │ ├── RandomChoice.java │ │ │ ├── RandomFactory.java │ │ │ ├── SecureGenerateRandom.java │ │ │ └── package-info.java │ │ │ ├── selection │ │ │ ├── CategorySearchAxis.java │ │ │ ├── GridModelSelection.java │ │ │ ├── ModelSelection.java │ │ │ ├── NumericSearchAxis.java │ │ │ ├── RandomModelSelection.java │ │ │ └── SearchAxis.java │ │ │ ├── som │ │ │ ├── BestMatchingUnit.java │ │ │ ├── SelfOrganizingMap.java │ │ │ ├── neighborhood │ │ │ │ ├── NeighborhoodBubble.java │ │ │ │ ├── NeighborhoodFunction.java │ │ │ │ ├── NeighborhoodRBF.java │ │ │ │ ├── NeighborhoodRBF1D.java │ │ │ │ └── NeighborhoodSingle.java │ │ │ └── train │ │ │ │ └── BasicTrainSOM.java │ │ │ └── util │ │ │ ├── ArrayUtil.java │ │ │ ├── FileUtil.java │ │ │ ├── MNISTReader.java │ │ │ └── NumberFormatting.java │ └── resources │ │ ├── auto-mpg.data.csv │ │ ├── iris.csv │ │ ├── nations.csv │ │ └── sunspots.csv │ └── test │ └── java │ └── com │ └── heatonresearch │ └── aifh │ └── ann │ ├── TestBasicNetwork.java │ ├── general │ └── data │ │ └── TestTimeSeriesUtil.java │ ├── randomize │ └── TestXaiverRandomizeNetwork.java │ └── train │ └── TestBackPropagation.java └── vol3-python-examples ├── README.md ├── datasets ├── auto-mpg.csv └── 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