Application of Coupling Model with Neural Network and Projection Pursuit based on Partial Least-squares Regression to Water Resources Carrying Capacity Forecasting

摘要：

The method of partial least-squares regression can effectively deal with the problems of multicollinearity among independent variables, but can not ideally solve the complicated problems of nonlinearity between dependent variables and independent variables.The method of coupling model with neural network and projection pursuit is an ideal tool to deal with the problem of nonlinearity, and it is very steady, but can not ideally solve the problems of multicollinearity among independent variables. The paper combines the two methods to establish the method of coupling model with neural network and projection pursuit based on partial least-squares regression for forecast water resources carrying capacity. The results of forecasting indicate that the combination is superior to either of them, the model was found to be able to give satisfactory effect.

关键词： partial least-squares regression coupling model with neural network and projection pursuit water resources carrying capacity

作者: Xiao-yong Zhao

作者单位: College of Hydrology andWater Resources, Hohai University, Nanjing, Jiangsu, 210098, China Yantai Municipal Bureau of Water Resources, Yantai, Shandong, 264000, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 1024-1027

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）