Research on groundwater level prediction of Naoli river basin based on Elman wavelet neural networks

By combining Elman neural network with wavelet analysis, this paper establishes Elman-wavelet network model. The paper also presents the training process of Elman-wavelet network model, and applies the model to groundwater-level prediction of Naolihe basin. Numerical results derived demonstrate the model has high prediction accuracy, fast convergence and good prediction results.