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

机译：基于Elman小波神经网络的瑙里流域地下水位预测研究。

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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.

机译：将Elman神经网络与小波分析相结合，建立了Elman-小波网络模型。本文还介绍了Elman小波网络模型的训练过程，并将该模型应用于瑙里河盆地的地下水位预测。推导的数值结果表明，该模型具有较高的预测精度，收敛速度快，预测效果好。

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《2011 International Conference on Multimedia Technology》|2011年|p.5981-5984|共4页
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Peng Sheng-min; Huang Jia-xin; Fu Qiang;
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正文语种
中图分类多媒体技术与多媒体计算机;
关键词
Elman wavelet neural network; exploitation; groundwater;

机译：Elman小波神经网络开采地下水;

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

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