摘要
针对火工品生产系统的安全评价问题,将模糊理论与神经网络相结合,建立了火工品生产系统模糊神经网络安全评价系统。文章阐明了本评估系统的工作原理及实现方法,最后将该模糊神经网络评估系统应用于若干火工品生产企业的实际安全管理水平的评价中,其运算速度快、容错能力强、评价效果直观全面。
A fuzzy neural network evaluation system was established by using fuzzy neural network to the safety assessment problem of pyrotechnics systems. First of all, the basic structure and theory of the fuzzy neural network were illustrated. Secondly, the working principles and methods of realizing this safety assessment system were put forward. Lastly, this system was applied to some practical safety management assessments in several factories. The system抯 arithmetic velocity was fast, the capacity of fault tolerance was high and the assessment result was directly and comprehensive.
出处
《火工品》
CAS
CSCD
北大核心
2004年第1期37-41,共5页
Initiators & Pyrotechnics
关键词
神经网络
模糊数学
火工品
生产系统
安全评价
Pyrotechnics
Production systems
Safety assessment
Fuzzy neural network
