├── .gitignore ├── LICENSE ├── README.md ├── 人工智能概论 └── 遗传算法.py ├── 图像超分辨项目 ├── create_data_lists.py ├── datasets.py ├── models.py ├── test.py ├── train_srresnet.py └── utils.py ├── 数据挖掘 ├── Pattern Mining.py ├── apriori.py ├── data-密度聚类 │ ├── 2d4c.mat │ ├── long.mat │ ├── moon.mat │ ├── sizes5.mat │ ├── smile.mat │ ├── spiral.mat │ ├── square1.mat │ └── square4.mat ├── dbscan.py ├── net_pattern mining.py ├── pattern mining.ipynb ├── test.py ├── 密度聚类.py └── 数据挖掘作业.ipynb ├── 智能系统实验 ├── 02.py ├── 03.py ├── 1异或self.py ├── 4_1 │ ├── 04.py │ ├── dataprocess.py │ └── net.py ├── 4_2 │ ├── net_model.py │ ├── test-animal.py │ ├── train_new.py │ ├── 动物分类1.py │ ├── 动物分类2.py │ ├── 测试动物网络.py │ └── 测试样本集.py ├── google图像分类.py ├── 实验报告模板.docx ├── 异或.py ├── 手写识别.py ├── 数据分类.py └── 数据回归.py ├── 机器学习 ├── logistics分类.ipynb ├── price_predict.ipynb ├── price_predict.py ├── 朴素贝叶斯.py ├── 机器学习上机线性回归.py ├── 神经网络法.py ├── 线性回归（广告）.ipynb ├── 贝叶斯分类2.ipynb ├── 高光谱.ipynb ├── 高光谱.py └── 高斯判别分析分类.ipynb ├── 模式识别 ├── fcm │ ├── fcm.py │ └── fcm_self.py ├── fisher_knn │ └── iris_classification.py ├── kmeans │ ├── kmeans_iris.py │ └── kmeans_pic.py └── svm │ ├── main.py │ └── process.py ├── 深度学习 ├── FashionMnist_self.py └── OCR_ALL │ ├── dataset.py │ ├── main.py │ ├── main_simple.py │ ├── process.py │ └── test_model.py └── 计算智能导论 ├── fcm.py ├── kmeans.py ├── kmeans_photo.py ├── linear_plot.py ├── long.mat ├── perceptron.py ├── perceptron_self.py ├── result.jpg ├── sonar.csv ├── sonar_kmeans.py ├── test_perceptron.py ├── 神经网络二分类.py ├── 计算智能.ipynb ├── 计算智能排列作业.py └── 遗传算法.py /.gitignore: -------------------------------------------------------------------------------- 1 | .idea 2 | .vscode -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CoderJackZhu/XDU_AI_project/HEAD/LICENSE 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