基于Elman小波神经网络的挠力河流域地下水开采量预测研究

Prediction research on groundwater exploitation in Naolihe River basin based on Elman wavelet neural network

应用E lm an神经网络和小波分析建立了E lm an小波神经网络模型,给出E lm an小波神经网络的训练过程,并将其应用到挠力河流域地下水开采量预测中。结果表明:该模型具有较高的预测精度,较快的收敛特性和较好的预报效果。

This paper applied the Elman neural network and wavelet analysis to establish the Elman wavelet neural network model,which also provided Elman neural network training process,witch was applied to groundwater exploitation prediction of Naolihe River basin.The results showed that the model has high prediction accuracy,faster convergence and better forecasting effect.