Research on Prediction Model of Improved BP Neural Network Optimized by Genetic Algorithm

DOI

10.2991/macmc-17.2018.145How to use a DOI?

Keywords

Prediction model, Improved BP neural network, Genetic algorithm

Abstract

Artificial neural networks have been applied in many fields, and with the continuous improvement of neural networks and the combination of other new algorithms, the application fields of artificial neural networks have become wider and wider. In this paper, genetic algorithm is used to optimize the performance of BP neural network. The numerical simulation results show that the BP neural network optimized by genetic algorithm can effectively avoid the local minimum defect of the original BP neural network, and has the advantages of fast convergence speed and high accuracy.

Copyright

© 2018, 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  - Anzhi Qi
PY  - 2018/01
DA  - 2018/01
TI  - Research on Prediction Model of Improved BP Neural Network Optimized by Genetic Algorithm
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 764
EP  - 767
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.145
DO  - 10.2991/macmc-17.2018.145
ID  - Qi2018/01
ER  -