摘要
城市水处理过程中，进水水质经常在发生变化。为分析汶川地震后成都水质变化，使用自组织神经网络对进水数据进行数据挖掘和分析，揭示了进水水质变化的模式分类情况，并对各模式及其异常进行了理论分析和解释，从而为污水处理设施运营和决策提供支持。
The sewage quality is always change and has great influence to the plant treatment. The pattern classification and interpretation to the sewage quality will be important to the facility operation especially after the great earthquake near Chengdu. Based on SOM clustering analysis,sewage quality is be divided into three main types. More study and analysis are done trying to find useful information and proved suggestion to the practice.
作者
薛媛媚
王波
XUE Yuan-mei, WANG Bo （1.The Third Sewage Treatment Plant of Chengdu, Chengdu 610043, China; 2.Department of Economic Management, South West Petroleum University, Chengdu 610500, China）
出处
《电脑知识与技术》
2010年第01Z期474-475,共2页
Computer Knowledge and Technology
关键词
水质
SOM
模式分析
sewage quality
SOM
pattern classification
