Rice Evapotranspiration Forecasting Based on Improved Parameter Projection Pursuit Model

摘要：

The method of partial least-squares regression (PLSR) 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 back propagations artificial neural network (BP-ANN) and projection pursuit (PP) 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 to forecast rice evapotranspiration. 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： coupling model with BP-ANN and PP evapotranspiration PLSR model rice

作者: FU Qiang WANG Zilong

作者单位: College of Water Conservancy and Civil Engineering Northeast Agricultural University,Harbin,P.R.China,150030

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 539-543

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）