Safety evaluation research of hydraulic steel gate based on BP-neural network

被引：0
|
作者：
Guo Jianbin [1 ]
Wen Yuanchang [1 ]
Xiao Jian [1 ]
机构：
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4 | 2009年
关键词：
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications shows that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation..
引用
收藏
页码：2115 / 2118
页数：4
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