• DocumentCode
    2041734
  • Title

    Prediction of Groundwater Quality Using Combined Grey Neural Network Model

  • Author

    Zhu, Changjun ; Zhao, Xiujuan ; Zhou, Jihong ; Ju, Qin ; Liu, Dedong

  • Author_Institution
    Coll. of Urban Constr., Hebei Univ. of Eng., Handan
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In view of the defect that the grey method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new combined grey neural network model was proposed. This paper mainly analyses the groundwater quality and establishes their mathematical model based on the groundwater monitoring data of one area by combined grey neural network method. It predicts various tendency of groundwater quality in this area in the future. Case study indicates that precision of the model is rather high and its popularization significance is better than the other models, and has some practical value when being used in the prediction of groundwater quality analysis.
  • Keywords
    forecasting theory; geophysics computing; grey systems; groundwater; hydrological techniques; mathematical analysis; monitoring; neural nets; grey neural network; groundwater monitoring; groundwater quality prediction; mathematical model; Artificial neural networks; Differential equations; Educational institutions; Hydrology; Least squares approximation; Mathematical model; Monitoring; Neural networks; Predictive models; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073014
  • Filename
    5073014