Research on Urban Water Requirement Prediction Model Based on Multiple Adaptive Regression Splines
Comparing the ways of urban water requirement prediction, this paper analyzes the factors affecting urban water requirement, establishes the multiple adaptive regression splines model for urban water requirement prediction. Through the real example of Yancheng, we compare the GM (1,1) model with MARS model. The result shows that the MARS model is more reliable and practical. The MARS model can provide foundation for water plan.
water requirement prediction model multiple adaptive regression splines
JIA Renfu YUAN Ming LI Jun
College of Civil Science and Engineering, Yangzhou University, P.R.China, 225009 College of Hydraulic Science and Engineering, Yangzhou University, P.R.China, 225009
国际会议
威海
英文
364-367
2010-07-24(万方平台首次上网日期,不代表论文的发表时间)