Research Article
An Improved BP Neural Network Based on Adaptive Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-031-32443-7_20, author={Jiale Zhang and Lianshuan Shi and Jiaxing Zhao and Shuangyu Duan}, title={An Improved BP Neural Network Based on Adaptive Genetic Algorithm}, proceedings={Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings}, proceedings_a={MONAMI}, year={2023}, month={5}, keywords={genetic algorithm Adaptive Algorithm optimization BP neural network}, doi={10.1007/978-3-031-32443-7_20} }- Jiale Zhang
Lianshuan Shi
Jiaxing Zhao
Shuangyu Duan
Year: 2023
An Improved BP Neural Network Based on Adaptive Genetic Algorithm
MONAMI
Springer
DOI: 10.1007/978-3-031-32443-7_20
Abstract
In order to improve the optimization effect of genetic algorithm on BP neural network, this paper proposes an improved BP neural network based on adaptive genetic algorithm. Firstly, the selection operation introduces the elite retention strategy. Secondly, adaptive operation is introduced into the crossover mutation operator, and the crossover mutation mode is optimized to adjust the population diversity, avoid the algorithm falling into the local optimal, and prevent the algorithm from precocious. Finally, the effectiveness of the proposed algorithm in reducing the time cost, improving the network fitting and improving the neural network’s tendency to fall into the local optimal is verified by comparing with the two common algorithms.
