An Irrigation Water Use Prediction Model for Ning-Meng Irrigation Area Based on Wavelet Neural Network

摘要：

　　The prediction model is developed based on Wavelet Neural Network to forecast the irrigation water diverted from the Yellow River in Ning-Meng Irrigation Area.In different years,the average absolute relative error of the prediction results based on Wavelet Neural Network is less than 5%.Compared with BP Neural Network,no crops and meteorological data must be requested.The forecasting model could be used in the data-deficiency region.

关键词： irrigation water diverted from the Yellow River wavelet neural network prediction model

作者: Han Jinxu Huang Fugui Luo Yuli Chen Weiwei

作者单位: Yellow River Institute of Hydraulic Research, Zhengzhou, 450003, China

会议类型: 国际会议

会议名称: The 5th International Yellow River Forum (第五届黄河国际论坛)

会议地点: 郑州

会议语种:英文

页码: 73-77

在线出版日期: 2012-09-24（万方平台首次上网日期，不代表论文的发表时间）