Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area
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    Abstract:

    Groundwater level dynamics is a complicate nonlinear system due to the effect and limitation of its natural and human factors.It is important to predict the change of groundwater level exactly in exploiting water resources of an irrigation area.Groundwater level change of typical well in Weibei irrigation area is predicted by artificial neural network(ANN) according to its high nonlinear function of parallel distribution processing.Result from the study shows that ANN may give a high precision and has a great value of extension and application.

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付中原,刘俊民,李丽,孔萌.人工神经网络在渭北灌区地下水位动态预测中的应用[J].水土保持通报英文版,2008,(4):144-146

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History
  • Received:April 07,2008
  • Revised:May 17,2008
  • Adopted:
  • Online: November 26,2014
  • Published: