环境评价的人工神经网络方法

EVALUATION OF ENVIRONMENT QUALITY BY USING ARTIFICIAL NEURON NETWORK THEORY

简要讨论了神经网络的基本原理，介绍了多层前馈神经网络模型及ＢＰ算法解决问题的基本思路与方法，分别对两个地方的大气质量及水质进行了评价，同时分别采用模糊数学法及灰色聚类法对这两组数据进行了处理，所得结果一致。

This paper discussed the principle of ANN briefly, introduced the feedforward multilayer Neual Network model and BP algorithm as well as the methods of using them to solve certain problems. The quality of water and air of two places is evaluated respectively. In addition, the authors processed these groups of data by using Fuzzy and Gray Cluster method separately. It shows that the results obtained by the two methods show no difference. 