Assessment model for system safety based on the artificial neural network and genetic algorithm

被引：0

作者：

Chen, GL ^{[1
]}

Zhou, XQ ^{[1
]}

机构：

[1] China Univ Mining & Technol, Sch Resource & Safety Engn, Beijing 100083, Peoples R China

来源：

PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL III, PTS A AND B | 2002年 / 3卷

关键词：

artificial neural network; genetic algorithm; system safety assessment;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper analyzes the defaults of the common methods used for system safety assessment. Assessment method based on the Artificial Neural Network is compared with Fuzzy Comprehensive Assessment approach. Through analyzing the limitation of the Artificial Neural Network, such as searching depth and optimizing method of weight value, a new assessment model for system safety based on the artificial neural network and genetic algorithm is established by introducing GA into ANN, which overcomes the limitation of single-searching and weight-processing of ANN. An example is given to explain how to use this model and the results show that this model is reliable.

引用

页码：951 / 956

页数：6