Research on BP Neural Network Algorithm Based on Genetic Algorithm Optimization in Short-Term Power Generation Forecasting

DOI

10.2991/icemse-16.2016.90How to use a DOI?

Keywords

Genetic algorithm, forecasting, BP neural network

Abstract

In order to overcome the shortcomings of traditional BP neural network, and realize the fast and accurate prediction, this paper will construct a new prediction method by combining genetic algorithm and neural network. The method significantly improves the optimization ability of the model, which can effectively overcome the slow learning speed of neural network, and overcome the blindness of the initial weights of the neural network, so as to effectively improve the accuracy of prediction. The examples show that this method can effectively improve the prediction accuracy.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianna Zhao
AU  - Xiaobo He
PY  - 2016/12
DA  - 2016/12
TI  - Research on BP Neural Network Algorithm Based on Genetic Algorithm Optimization in Short-Term Power Generation Forecasting
BT  - Proceedings of the 2016 International Conference on Education, Management Science and Economics
PB  - Atlantis Press
SP  - 359
EP  - 362
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemse-16.2016.90
DO  - 10.2991/icemse-16.2016.90
ID  - Zhao2016/12
ER  -