@inproceedings{c8886dda3c624adca561a0755a537c66,
title = "BP neural network optimization based on an improved genetic algorithm",
abstract = "An improved Genetic Algorithm based on Evolutionarily Stable Strategy is proposed to optimize the initial weights of BP network in this paper. The improvement of GA lies in the introducing of a new mutation operator under control of a stable factor, which is found to be a very simple and effective searching operator. The experimental results in BP neural network optimization show that this algorithm can effectively avoid BP network converging to local optimum. It is found by comparison that the improved genetic algorithm can almost avoid the trap of local optimum and effectively improve the convergent speed.",
keywords = "Back propagation (BP) algorithm, Evolutionarily stable strategy, Genetic algorithm, Neural network, Premature convergence",
author = "Bo Yang and Su, \{Xiao Hong\} and Wang, \{Ya Dong\}",
year = "2002",
language = "英语",
isbn = "0780375084",
series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "64--68",
booktitle = "2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002",
address = "美国",
note = "1st International Conference on Machine Learning and Cybernetics, ICMLC 2002 ; Conference date: 04-11-2002 Through 05-11-2002",
}