Multidimensional time series | MATLAB implements BP neural network multivariate time series prediction (considering the influence of historical characteristics, multi-indicator, multi-graph output)

Multidimensional time series | MATLAB implements BP neural network multivariate time series prediction (considering the influence of historical characteristics, multi-indicator, multi-graph output)

predictive effect

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basic introduction

MATLAB implements BP neural network multivariate time series forecasting (considering the influence of historical characteristics, multi-indicator, multi-map output).
1. Matlab implements BP neural network multivariate time series forecasting;
2. The operating environment is Matlab2018b;
3. Input multiple features, output a single variable, consider the influence of historical features, and multivariate time series forecasting;
4.data is a data set, BPNTS.m is the main program, just run it, and put all the files together

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転載: blog.csdn.net/kjm13182345320/article/details/130471154