Wavelet neural network based on BP algorithm and its application in flood forecasting

As is well known, it is the application of runoff flood forecasting that is extraordinary significant for us. A detailed detection of the flood forecasting process has been carried out using powerful artificial neural network in this paper. Learning algorithm of wavelet neural network was produced by extruding it in BP idea.The determination of network hidden layer nodes utilizes the method of tring fault. Activation function belongs to morlet wavelet fund ion,and the module of net structure belongs to 371. It is shown that the reliable prediction accury could be provided by using this model for predicting and analysing for the flood data of solar Da in 1996.