Study of electrical safety assessment of industry based on artificial neural network

被引：0
|
作者：
Yue Lihong [1 ]
Chen Weigong [1 ]
机构：
[1] Qingdao Technol Univ, Minist Educ, Div Sci & Technol, Qingdao 266033, Shangdong, Peoples R China
来源：
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年
关键词：
electrical system; safety assessment; neural network; BP neural model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Method of electrical safety assessment of industry based on artificial neural network was proposed. Fourteen assessment indexes were determined to form a new safety assessment index system. According to the system, node number of input layer, output layer and connotative layer was determined and basic frame of BP neural network was constructed. The study of BP neural network was exercised by the counter propagation algorithm and genetic algorithm, the model was solved. The method was tested. Predicted results were found to be in full compliance with the real condition of the plant.
引用
收藏
页码：2668 / 2671
页数：4
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