水资源与水工程学报

文章摘要

WU Changyou.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Journal of Water Resources and Water Engineering[J].,2011,22(3):

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

DOI：10.11705/j.issn.1672-643X.2011.03.094

英文关键词: Elman wavelet neural network groundwater exploitation Nallihe River

基金项目:国家自然科学基金项目，教育部博士点基金项目

Author Name	Affiliation
WU Changyou	WU Changyou(School of Management Science and Engineering,Shandong Institute of Business and Technology,Yantai 264005,China)

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中文摘要:

应用Elman神经网络和小波分析建立了Elman小波神经网络模型,给出Elman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.

英文摘要:

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.

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