A BP neural network model based on genetic algorithm for comprehensive evaluation

Xin Sun*, Qiongxin Liu, Lei Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

BP algorithm can be applied in comprehensive evaluation. A hybrid neural network based on the combination of GA and BP algorithms is proposed. The algorithm made fully use of GA's global searching to improve the learning ability of BP neural network. Then, the method is used in comprehensive evaluation, which the genetic algorithm can improve the weights of the neural network and enhance the training precision of the neural network. The experimental results show that the method is valid and feasible.

源语言英语
主期刊名Proceedings - PACCS 2011
主期刊副标题2011 3rd Pacific-Asia Conference on Circuits, Communications and System
DOI
出版状态已出版 - 2011
活动2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011 - Wuhan, 中国
期限: 17 7月 201118 7月 2011

出版系列

姓名Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System

会议

会议2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011
国家/地区中国
Wuhan
时期17/07/1118/07/11

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