• DocumentCode
    3167095
  • Title

    Research on groundwater Level Prediction of Naoli River Basin based on Elman wavelet neural networks

  • Author

    Chang-you, Wu

  • Author_Institution
    Shandong Inst. of Bus. & Technol., Coll. of Manage. & Sci., Yantai, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    2504
  • Lastpage
    2507
  • Abstract
    This paper researches on Elman neural network and wavelet analysis based on the existing literatures and proposes the Elman wavelet neural network model. This paper also provides Elman neural network training process to apply it to groundwater Level Prediction of Naoli River Basin. This paper proposes groundwater level prediction model of Naoli River basin based on Elman wavelet neural networks. It can be seen that the model has high prediction accuracy and faster convergence according to the prediction results.
  • Keywords
    groundwater; learning (artificial intelligence); natural sciences computing; neural nets; rivers; wavelet transforms; Elman wavelet neural network training; Naoli river basin; groundwater level prediction; Artificial neural networks; Biological system modeling; Fitting; Predictive models; Rivers; Water resources; Wavelet analysis; Elman wavelet neural network; exploitation; groundwater;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769201
  • Filename
    5769201