Classification prediction | Matlab implements multi-input classification prediction based on LFDA-SVM local Fisher discriminant data dimensionality reduction combined with support vector machine - Code World

Classification prediction | Matlab implements multi-input classification prediction based on LFDA-SVM local Fisher discriminant data dimensionality reduction combined with support vector machine

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Classification prediction | Matlab implements multi-input classification prediction based on LFDA-SVM local Fisher discriminant data dimensionality reduction combined with support vector machine

Classification prediction | MATLAB implements multi-input classification prediction based on SVM-Adaboost support vector machine combined with AdaBoost

Classification prediction | MATLAB implements DBN-SVM deep belief network combined with support vector machine multi-input classification prediction

Classification prediction | MATLAB implements WOA-FS-SVM whale algorithm synchronous optimization feature selection combined with support vector machine classification prediction

Regression prediction | MATLAB implements regression prediction based on SVM-Adaboost support vector machine combined with AdaBoost multi-input single-output

Classification prediction | MATLAB implements WOA whale algorithm synchronous optimization feature selection combined with support vector machine classification prediction

Classification prediction | Matlab implements CNN-GSSVM convolutional neural network combined with grid search algorithm to optimize support vector machine multi-feature classification prediction

Classification prediction | MATLAB implements PCA-MLP principal component dimensionality reduction combined with multi-layer perceptron multi-feature classification prediction

Classification prediction | Matlab implements NGO-CNN-SVM northern goshawk algorithm optimization convolution support vector machine classification prediction

Regression prediction | MATLAB implements multi-input single-output regression prediction based on SVM-RFE-BP support vector machine recursive feature elimination feature selection algorithm combined with BP neural network

Regression prediction | MATLAB implements SA-SVM simulated annealing algorithm to optimize support vector machine multi-input single-output regression prediction (multi-index, multi-graph)

Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO)

Classification prediction | MATLAB implements multi-feature data classification prediction based on PSO-NN, SVM, KNN, DT, binary classification and multi-classification

Regression prediction | MATLAB implements PCA-BP principal component dimensionality reduction combined with BP neural network multi-input single-output regression prediction

Classification prediction | MATLAB implements DBN deep belief network multi-input classification prediction

Classification prediction | MATLAB implements GWO-BiLSTM-Attention multi-input classification prediction

Classification prediction | MATLAB implements GWO-BiGRU-Attention multi-input classification prediction

Classification prediction | MATLAB implements EVO-CNN multi-input classification prediction

Classification prediction | MATLAB implements MTBO-CNN multi-input classification prediction

Classification prediction | MATLAB implements GAPSO-BP genetic algorithm combined with particle swarm optimization algorithm to optimize BP neural network multi-input classification prediction

[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

Classification prediction | MATLAB implements GA-BiLSTM genetic algorithm to optimize data multi-input classification prediction of bidirectional long short-term memory network

Classification prediction | Matlab implements data classification prediction based on TSOA-CNN-GRU-Attention

Classification prediction | Matlab implements classification prediction based on BP-Adaboost data

Classification prediction | MATLAB implements PSO-DBN particle swarm optimization deep belief network multi-input classification prediction

Classification prediction | Matlab implements SO-RF snake swarm algorithm to optimize random forest multi-input classification prediction

Classification prediction | Matlab implements GA-RF genetic algorithm to optimize random forest multi-input classification prediction

Classification prediction | Matlab implements data classification prediction based on MIC-BP-Adaboost maximum mutual information coefficient data feature selection algorithm combined with Adaboost-BP neural network

Regression prediction | MATLAB implements BES-SVM vulture search optimization algorithm to optimize support vector machine multi-input single-output regression prediction (multi-index, multi-graph)

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