• DocumentCode
    506754
  • Title

    Forcast 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
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    1
  • Lastpage
    3
  • 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 Lake´s 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
    forecasting theory; fuzzy neural nets; lakes; wavelet transforms; Poyang lake water level; Three Georges Project; Yangtze River; freshwater lake; water level series; wavelet analysis; wavelet-ANFIS model; Frequency domain analysis; Fuzzy neural networks; Fuzzy systems; Information analysis; Lakes; Rivers; Water conservation; Water resources; Wavelet analysis; Wavelet domain; ANFIS; Poyang Lake; Water level; Wavelet-ANFIS; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358253
  • Filename
    5358253