摘要
阐述了BP神经网络的基本原理,利用机会约束的思想建立了综合安全评价模型,运用反向传播算法和遗传算法对神经元网络进行训练,在此分析基础上对系统综合安全评价模型进行求解,并对运用神经元网络进行综合安全评价的优点进行了分析。
This paper introduces the theory of BP neural network and constructs the comprehensive safety assessment model by using the chance constrained programming. At the same time, the study of BP neural network is exercised by the counter propagable algorithm and genetic algorithm,BP neural network is implied in the comprehensive safety assessment of the system and the advantages are described on the basis of the analysis of BP neural network.
出处
《安全与环境工程》
CAS
2005年第2期61-64,共4页
Safety and Environmental Engineering
基金
国家自然科学基金资助项目(70371014)。
关键词
BP神经网络
安全评价
BP neural network
safety assessment