• DocumentCode
    492251
  • Title

    WANN Model for Monthly Runoff Forecast

  • Author

    Guo, Huifang ; Dong, Zengchuan ; Chen, Xin ; Ma, Xixia ; Zhang, Peiyan

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    1087
  • Lastpage
    1089
  • Abstract
    Wavelet analysis has good time-frequency analysis ability. Artificial neural network has powerful nonlinear approximation ability. This paper combines their abilities, and establishes WANN model. It uses this model to forecast monthly runoff, the result shows that this model can get a good result in simulating and predicting monthly runoff.
  • Keywords
    approximation theory; geophysics computing; neural nets; rivers; time-frequency analysis; wavelet transforms; WANN model; artificial neural network; monthly runoff forecast; nonlinear approximation ability; time-frequency analysis; wavelet analysis; Artificial neural networks; Continuous wavelet transforms; Educational institutions; Frequency domain analysis; Information analysis; Power engineering and energy; Predictive models; Time frequency analysis; Wavelet analysis; Wavelet transforms; ANN; WANN; runoff forecast; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810682
  • Filename
    4810682
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=492251