Application of Wavelet Network Coupling Model to Groundwater Level Forecasting
Wei Zhang · Water Resources and Power · 2012
In view of forecasting groundwater level of irrigation distinct,two coupling wavelet and BP network models are established by combining time-frequency local property and approximate function of neural networks.The prediction effect of wavelet network model and single neural network is compared under different coupling mode.The comparison indicates that the error of simulation with two-coupled models is smaller than that with single artificial neural network model.The results also show that the coupling mode,in which signals are reconstructed after detailed stationary time series and smoothed non-stationary time series are forecasted with neural network model,is better than the coupling mode,in which the decomposed signals are forecasted with the neural network model.