BP neural network population prediction program (matlab implementation) - Code World

BP neural network population prediction program (matlab implementation)

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BP neural network population prediction program (matlab implementation)

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Classification prediction | MATLAB implements PSO-BP multi-feature classification prediction (particle swarm optimization BP neural network classification prediction, including confusion matrix diagram and classification diagram)

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Regression prediction | MATLAB implements WOA-BP whale optimization algorithm to optimize BP neural network multi-input single-output regression prediction (multi-indicator, multi-graph)

Regression prediction | MATLAB implements CSO-BP cuckoo optimization algorithm to optimize BP neural network multi-input single-output regression prediction (multi-index, multi-graph)

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

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