Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map) - Code World

Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map)

Enterprise 2023-08-01 22:02:28 views: null

Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map)

Table of contents

- Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map)

List of effects

basic introduction

MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map) input multiple features, output a single variable, multi-input single-output regression prediction; multi-indicator evaluation, code quality is extremely high; whale algorithm optimization parameters
are :

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Origin blog.csdn.net/kjm13182345320/article/details/132007419

Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input single-output regression prediction (multi-indicator, multi-map)

Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input and multi-output prediction

Regression prediction | MATLAB implements K-fold cross-validation GRNN generalized regression neural network multi-input single-output regression prediction

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 FA-BP firefly algorithm to optimize BP neural network multi-input single-output regression prediction (multi-index, multi-map)

Regression prediction | MATLAB implements FA-ELM firefly algorithm to optimize extreme learning machine multi-input single-output regression prediction (multi-indicator, multi-map)

Regression prediction | MATLAB realizes SOM-BP self-organizing map combined with BP neural network multi-input single-output regression prediction (multi-indicator, multi-map)

Classification prediction | MATLAB implements GRNN generalized regression neural network multi-feature classification prediction

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

Regression prediction | MATLAB realizes FA-SVM firefly algorithm optimization support vector machine multi-input single-output regression prediction (multi-indicator, multi-map)

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 CNN-BiGRU-Attention multi-input single-output regression prediction

Regression prediction | MATLAB implements GA-ELM genetic algorithm to optimize extreme learning machine multi-input single-output regression prediction (multi-indicator, multi-graph)

Regression prediction | MATLAB implements WOA-RF whale optimization algorithm to optimize random forest algorithm multi-input single-output regression prediction (multi-indicator, multi-graph)

Regression prediction | MATLAB implements GA-RF genetic algorithm to optimize random forest algorithm, multi-input and single-output regression prediction (multi-indicator, multi-graph)

Regression prediction | MATLAB implements SSA-ELM sparrow search algorithm to optimize extreme learning machine multi-input single-output regression prediction (multi-indicator, multi-graph)

Multi-input single-output prediction: Matlab implementation combining multiple regression analysis and LSTM neural network

Regression prediction | MATLAB implements PSO-DNN particle swarm optimization algorithm to optimize data multi-input single-output regression prediction of deep neural network

Regression prediction | MATLAB implements TCN-LSTM time convolution long short-term memory neural network multi-input single-output regression prediction

Regression prediction | MATLAB implements TCN-BiLSTM temporal convolution bidirectional long-short-term memory neural network multi-input single-output regression prediction

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

Interval prediction | MATLAB implements QRBiLSTM bidirectional long short-term memory neural network quantile regression multi-input single-output interval prediction

Interval prediction | MATLAB implements QRLSTM long short-term memory neural network quantile regression multi-input single-output interval prediction

Regression prediction | MATLAB implements SCN random configuration network multi-input single-output regression prediction (multi-index, multi-graph)

Regression prediction | MATLAB realizes SSA-SVM sparrow search algorithm optimization support vector machine multi-input single-output regression prediction (multi-indicator, multi-graph)

Regression prediction | MATLAB implements ELM extreme learning machine multi-input single-output regression prediction (multiple indicators, correlation diagram)

Regression prediction | MATLAB implements multi-input single-output regression prediction based on SAE stacked self-editor

Regression prediction | MATLAB realizes IPSO-SVM improved particle swarm optimization algorithm optimization support vector machine multi-input single-output regression prediction (multi-indicator, multi-map)

Regression prediction | MATLAB implements regression prediction based on LSTM-AdaBoost long short-term memory network combined with AdaBoost multi-input single-output

Regression prediction | MATLAB implements PSO-RF particle swarm optimization algorithm to optimize random forest algorithm multi-input single-output regression prediction (multi-indicator, multi-graph)

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