Adaptive neuro fuzzy inference system for classification of water quality status

作     者：Han Yan,Zhihong Zou,Huiwen Wang School of Economics and Management,Beihang University,Beijing 100191,China 

作者机构：School of Economics and Management Beihang University Beijing 100191 Chin 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2010年第22卷第12期

页      面：1891-1896页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程] 0804[工学-仪器科学与技术] 

基　　金：supported by the National Natural Science Foundation of China(No. 50778009) 

主　　题：adaptive neuro fuzzy inference system artificial neural networks water quality status classification 

摘      要：An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set （nine weeks, total 845 observations） was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status.