摘要
根据洮河50年(1957～2006年)的径流量、降雨和上游径流量数据,建立了基于反馈神经网络的Elman洮河枯季径流预报模型。利用matlab7提供的神经网络工具箱进行建模训练。仿真结果表明所采用的Elman网络预报模型精度高,为人工神经网络运用到水文预测方面提供了依据。
According to the records of rain and run off of Tao River and flow of Tao upriver for 50 years (1957-2006),a Elman neural network model of dry season run-off forecast is established based on The principle of feedback artificial neural network.Then the au- thor made the model and trained the model for many times by Neural Network Toolbox of matlabT.The results of the emulation show that the ANN prediction model based on Elm,an is more precise in this paper,so it provides a basis for the application of ANN in hydrological prognosis.
出处
《节水灌溉》
北大核心
2007年第8期76-78,共3页
Water Saving Irrigation
关键词
枯季径流预报
ELMAN网络
网络训练
水文预测
Dry season run off prediction
Elman Network
Net training
hydrological prognosis
