A Neural Network Forecasting Model of Beijings Water Supplied and Consumed Based on Set Pare Analysis

摘要：

By using neural networks, Beijings water supplied and consumed is forecasted, and connection number and total partial connection number of the set pair analysis (SPA) are obtained. Principal factors and development trend are sequenced based on absolute relative error between sample value Xi and predominant value yt so as to set up a mathematics model of forecasting Beijings water supplied and consumed. The instance analysis shows that its a scientific and practicable method of system analysis with a higher forecasting accuracy.

关键词： water supplied and consumed SPA neural network forecasting model

作者: Xiaoxi Zhang Dingtian Zhang

作者单位: Normal College Beijing Union University Beijing, China, 100011 Department of Computer Science and Technology Tsinghua University Beijing, China, 100084

会议类型: 国际会议

会议名称: 2011 9th International Conference on Reliability,Maintainability and Safety(第九届国际可靠性、维修性、安全性会议 ICRMS2011)

会议地点: 贵阳

会议语种:英文

页码: 284-287

在线出版日期: 2011-06-12（万方平台首次上网日期，不代表论文的发表时间）