• DocumentCode
    3266301
  • Title

    Forecast of Poyang Lake´s Water Level by Wavelet-ANFIS Model

  • Author

    Zhang, Rijun ; Dong, Zengchuan ; Guo, Huifang

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    393
  • Lastpage
    395
  • Abstract
    Poyang Lake is China´s largest freshwater lake. It has good regulation role to Yangtze River. After the running of Three Georges Project, it influences the water level of Poyang Lake a lot. This paper predicts Poyang Lakepsilas water level, it is the basic of influence research. Once there were many predicting methods, such as ANN, etc. But these methods are not very precisely. This paper uses wavelet analysis to decompose water level series, then it uses ANFIS to modeling the decomposed series, in the end it combined these series. The result shows that, the prediction accuracy rises a lot, and it is fit to used in water level predict.
  • Keywords
    fuzzy neural nets; geophysics computing; lakes; water; China; Poyang Lake; Yangtze River; artificial fuzzy neural network; freshwater lake; water level; wavelet analysis; wavelet-ANFIS model; Frequency; Fuzzy neural networks; Fuzzy systems; Lakes; Predictive models; Rivers; Water conservation; Water resources; Wavelet analysis; Wavelet domain; ANFIS; Poyang Lake; Water level; Wavelet-ANFIS; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.267
  • Filename
    5231110