├── DGA原始数据.xlsx ├── README.md ├── SSA.m ├── fical.m ├── initialization.m ├── libsvm 参数说明.txt ├── main.m ├── svmpredict.mexw64 └── svmtrain.mexw64 /DGA原始数据.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lxy0068/Multi-input-classification-prediction-model-based-on-SSA-CNN-SVM/b624b10088e5cc7881f49daaf4c5c9d5c5abf329/DGA原始数据.xlsx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Multi-input-classification-prediction-model-based-on-SSA-CNN-SVM 2 | Optimizing the multi-feature input classification prediction model of convolutional neural network-support vector machine based on sparrow algorithm (Mathematical Modeling Contest code) 3 | 4 | ![image](https://github.com/user-attachments/assets/7d6e60a0-363e-497a-8a74-5d9012b166f5) 5 | ![image](https://github.com/user-attachments/assets/775bee44-a405-4e76-961a-1408f2271616) 6 | ![image](https://github.com/user-attachments/assets/9d000afb-6252-4eea-be5d-39aeeba2ff50) 7 | ![image](https://github.com/user-attachments/assets/69a7a396-e3bb-4e4e-9e70-fb1f3c0a9419) 8 | ![image](https://github.com/user-attachments/assets/17aa33cd-fe3a-4da2-b2cd-15bdfd2bf7b4) 9 | ![image](https://github.com/user-attachments/assets/e40e2427-362c-4f4a-86ef-5c82e31da338) 10 | -------------------------------------------------------------------------------- /SSA.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lxy0068/Multi-input-classification-prediction-model-based-on-SSA-CNN-SVM/b624b10088e5cc7881f49daaf4c5c9d5c5abf329/SSA.m -------------------------------------------------------------------------------- /fical.m: -------------------------------------------------------------------------------- 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radial basis function: exp(-gamma*|u-v|^2) 13 | 3 -- sigmoid: tanh(gamma*u'*v + coef0) 14 | 4 -- precomputed kernel (kernel values in training_instance_matrix) 15 | -d degree : set degree in kernel function (default 3) 16 | -g gamma : set gamma in kernel function (default 1/k) 17 | -r coef0 : set coef0 in kernel function (default 0) 18 | -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1) 19 | -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5) 20 | -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1) 21 | -m cachesize : set cache memory size in MB (default 100) 22 | -e epsilon : set tolerance of termination criterion (default 0.001) 23 | -h shrinking: whether to use the shrinking heuristics, 0 or 1 (default 1) 24 | -b probability_estimates: whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0) 25 | -wi weight: set the parameter C of class i to weight*C, for C-SVC (default 1) 26 | -v n: n-fold cross validation mode 27 | -------------------------------------------------------------------------------- /main.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lxy0068/Multi-input-classification-prediction-model-based-on-SSA-CNN-SVM/b624b10088e5cc7881f49daaf4c5c9d5c5abf329/main.m -------------------------------------------------------------------------------- /svmpredict.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lxy0068/Multi-input-classification-prediction-model-based-on-SSA-CNN-SVM/b624b10088e5cc7881f49daaf4c5c9d5c5abf329/svmpredict.mexw64 -------------------------------------------------------------------------------- /svmtrain.mexw64: -------------------------------------------------------------------------------- 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