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Engineering item risk evaluating based on evolutionary algorithm and BP neural network

  • Wuhan Polytechnic University

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The purpose of this paper is to improve the risk evaluating quality of engineering item. The topology structure of evolutionary algorithm based BP (EABP) neural network is described, the principle of EABP neural network is introduced, and the implement step of EABP neural network is given. The combination algorithm is applied to risk evaluating for the engineering item, and its result is compared with that of conventional BP neural network. The comparing result shows that EABP neural network fits to complex system such as risk evaluating for engineering item, it improves in a certain extent on training speed and precision, it can improve the quality of engineering item risk evaluating, and it fits to solve some problems in which evaluating indexes weights are difficult to be determined or there exists complex non-linear relation among them.

源语言英语
主期刊名Proceedings - 2009 IITA International Conference on Services Science, Management and Engineering, SSME 2009
553-556
页数4
DOI
出版状态已出版 - 2009
已对外发布
活动2009 IITA International Conference on Services Science, Management and Engineering, SSME 2009 - Zhangjiajie, 中国
期限: 11 7月 200912 7月 2009

出版系列

姓名Proceedings - 2009 IITA International Conference on Services Science, Management and Engineering, SSME 2009

会议

会议2009 IITA International Conference on Services Science, Management and Engineering, SSME 2009
国家/地区中国
Zhangjiajie
时期11/07/0912/07/09

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