辐射环境监测优化布点的BP人工神经网络方法

OPTIMAL LAYOUT OF RADIOLOGICAL ENVIRONMENTAL MONITORING BASED ON BP ARTIFICIAL NEURAL NETWORKS

本文着重介绍一种新的优化布点方法,即BP(BackPropagation)人工神经网络算法的基本原理和构造该算法的步骤。应用实例表明,人工神经网络算法用于监测一个地区环境辐射平均水平的优化布点是十分理想的。

This paper describes a new way——BP (Back Propagation) artificial neural networks algorithm to optimize the layout, and gives the steps of building BP program. Results of practicle examples suggest that it is feasible to optimize the layout for monitoring the average level of environmental radiation in one area by BP algorithm.