人工神经元网络在事故应急对策中的应用

APPLICATION OF ARTIFICIAL NEURAL EMTWORK TO THE COUNTERMEASURE OF ACCIDENT EMERGENCY

本文简述了人工神经元网络的结构及其特征。介绍了人工神经元网络BP算法在大型炼油厂灾害、事故防治对策中的应用,并以停水、停电为例进行了仿真运算。结果表明,采用人工神经元网络做出的决策符合实际情况和人的思维逻辑,可克服传统专家系统的某些不足,具有一定的实用价值。

The paper briefly introduced the structure and feature of the artificial neural network, the application of BP algorithm to the measures of large oil refining factory and accident prevention, taking power-outage and water failure. The results show that the decisions made by the artificial neural network consist with the actual situation and human ideological logic.