Wavelet Neural Network Model and Its Application in Runoff Forecasting
Hongxia Zhang · Yellow River · 2011
According to the nonlinear and the multi-time scale character of the monthly runoff time series,the A Trous Algorithm was used to analyze the monthly runoff time series of Panshitou Reservoir.Based on this,the combination forecasting model was built by combining the wavelet and artificial neural network,and the general steps and key algorithm of the model were expounded.Dealing with the defects of the steepest descent and slowly converging,easy to immerging in partial minimum frequently,the improvement was made of conjugating gradient with BP algorithm to solve the problem.The results show that the model has better capability of simulation for the process of monthly runoff with higher accuracy.