摘要
将Ｂ－Ｐ网络原理与逐步聚类分析思想相结合，用于环境测点聚类优选。该方法用于小清河几个监测断面的优选结果是符合客观实际的。
In order to optimize environmental monitoring sites with
multi-pollutants,this paper has combined B-P neural network principle and stepwise cluster
analysis thoughts for the optimization results of 10 sites of Xiaoqing River with the demands.\=
出处
《干旱环境监测》
北大核心
1999年第2期86-89,共4页
Arid Environmental Monitoring
关键词
B-P网络
聚类分析
点位优选
河流
水质监测
Artificial neural network
B-P algorithm
Cluster analysis,Optimization.
