摘要
为了预测作物需水量,根据已知的实测资料,建立面向MATLAB神经网络工具箱的径向基神经网络预测模型,利用了神经网络的特性和MATLAB工具箱的强大功能,通过实测资料,对网络进行训练.预测结果表明,预报精度达到要求,表明该方法有一定的有效性.
In order to forecast the crop water requirement,under obtained data,MATLAB-oriented RBF Neural Network forecasting model is worked up.Utilizing characteristics of Neural Network and strong function of Toolbox in MATLAB,and through actual surveying data,the network is trained.The forecasting results show that,forecast precision meets the requirements,the method have some validity.
出处
《华北水利水电学院学报》
2009年第1期5-6,共2页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
作物需水量
RBF网络
预测
crop water requirement
RBF Neural Network
forecasting
