Application of Generalized Regression Neural Network for Forecasting Water Requirement of Rice

摘要：

The Generalized Regression Neural Network theory (GRNN) was used to for forecasting water requirement of rice.The forecasting model is set up by analyzing the relation between weather factors and rice water requirement.The results show that this model is reasonable and practical.The model proposes a reliable and effective way to forecast rice water requirement.

关键词： generalized regression neural network rice water requirement predictive model

作者: Chi Daocai Gao Dan Zhang Ningning Li Lu

作者单位: College of Water Conservancy,Shenyang Agricultural University,Shenyang,110161,China

会议类型: 国际会议

会议名称: International Conference on Effective Utilization of Agricultural Soil & Water Resources and Protection of Environment and the 4th Annual Academic Conference of Chinese Society of Agricultural Soil and Water Engineering

会议地点: 南京

会议语种:英文

页码: 51-54

在线出版日期: 2006-08-16（万方平台首次上网日期，不代表论文的发表时间）