摘要
论证了应用人工神经网络进行降雨-径流建模的可行性；给出了建模用的BP算法；和应用人工神经网络进行建模的具体方法，并采用实例进行仿真，表明该模型对大、中、小各种洪水过程都能进行很好的模拟，对预报流量图上的一些最重要的特征可作出较准确的预报．
The feasibility of modeling rainfall-runoff process using artificial neural networks (ANN)is demonstrated. A BP model is presented. The method of ANN modeling is given. The simulationresults indicate that the method is of high efficiency for simulating different kinds of floods. Andhence it can predict precisely some important features in the flow process graphs.Shu Chang Assistant Professor; Huazhong University of Science and Technology, Wuhan 430074.China
出处
《水电能源科学》
1999年第2期56-58,共3页
Water Resources and Power
基金
湖北省自然科学基金!96J014
华中理工大学科学研究基金!M120003
