• DocumentCode
    2034230
  • Title

    Application of Adaptive Neuro-Fuzzy Inference System to Forecast of Microwave Effect

  • Author

    Li Ke ; Ma Hong-ge ; Zhou Hai-Jing

  • Author_Institution
    CAEP, Inst. of Appl. Electron., Mianyang
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In order to solve the forecast problem of microwave effect, the adaptive neuro-fuzzy inference system (ANFIS) is applied and the microwave parameters and its thresholds are adopted as variable. As a result, the ANFIS model based on the microwave effect data is developed, and the confidence level and confidence interval are proposed to appraise the forecasting ability of the ANFIS model. Comparing the output of the ANFIS with the training and testing data, the good forecasting ability, small error and low data requirement are found with the ANFIS.
  • Keywords
    electrical engineering computing; fuzzy neural nets; inference mechanisms; microwaves; adaptive neuro-fuzzy inference system; microwave effect data; microwave effect forecasting; Adaptive systems; Appraisal; Floors; Fuzzy systems; Inference algorithms; Least squares approximation; Microwave frequencies; Physics; Predictive models; Testing;
  • 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.2009.5072738
  • Filename
    5072738