• DocumentCode
    2723825
  • Title

    Generalized Wavelet Neuro-Fuzzy Model and its Application in Time Series Forecasting

  • Author

    Banakar, Ahmad ; Azeem, Mohammad Fazle

  • Author_Institution
    Dept. of Electr. Eng., AMU Aligarh Univ.
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    253
  • Lastpage
    258
  • Abstract
    The advantages of wavelets when used in neural networks and fuzzy are well known. The new notion is to combine wavelet networks and neuro-fuzzy models. In this paper two models namely summation wavelet neural network (SWNN) and multiplication wavelet neural network (MWNN) are proposed. These two generalized wavelet neural network (WNN) models are used in neuro-fuzzy model are tested by using time series prediction
  • Keywords
    forecasting theory; fuzzy neural nets; time series; wavelet transforms; multiplication wavelet neural network; neuro-fuzzy model; summation wavelet neural network; time series forecasting; wavelet network; Continuous wavelet transforms; Educational institutions; Frequency; Fuzzy neural networks; Fuzzy systems; Neural networks; Neurons; Predictive models; Signal resolution; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolving Fuzzy Systems, 2006 International Symposium on
  • Conference_Location
    Ambleside
  • Print_ISBN
    0-7803-9719-3
  • Electronic_ISBN
    0-7803-9719-3
  • Type

    conf

  • DOI
    10.1109/ISEFS.2006.251139
  • Filename
    4016703
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2723825