基于Elman小波神经网络的垦区地下水位预测模型研究

在现有Elman神经网络和小波分析理论研究的基础上,提出了Elman小波神经网络模型。给出了Elman小波神经网络梯度下降法训练的推导过程,为了避免梯度下降法收敛速度慢、容易产生振荡和陷入局部最优等缺点,在Elman小波神经网络的训练过程中引入动量项和自适应学习速率,并将该网络应用到垦区地下水位预测中,取得了良好的预期效果。在训练过程中,该网络具有收敛速度快,精度高等优点,同时也具有较好的泛化能力。

Research on Groundwater Level Prediction of Reclamation Areas Based on Elman Wavelet Neural Networks

This paper proposes the Elman wavelet neural network model based on the existing fundamental research on Elman neural network and wavelet analysis.It provides inferential reasoning process of Elman wavelet neural network gradient descent method in order to avoid the shortcomings of the gradient descent method,such as slow convergence rate and easy producing vibrates.In the training process of Elman wavelet neural network momentum and auto-adapted study speed is introduced,and this network is applied to pred...