• DocumentCode
    3563668
  • Title

    Improving forecasting accuracy in the case of prepared frozen foods trough the utilization of genetic algorithm

  • Author

    Higuchi, Yuki ; Takeyasu, Hiromasa ; Takeyasu, Kazuhiro

  • fYear
    2014
  • Firstpage
    1284
  • Lastpage
    1289
  • Abstract
    We have proposed a new method of estimation of smoothing constant in ESM before [1]. Focusing that the equation of ESM is equivalent to (1,1) order ARMA model equation, a new method of estimation of smoothing constant in ESM was derived.
  • Keywords
    autoregressive moving average processes; estimation theory; food products; forecasting theory; genetic algorithms; smoothing methods; ESM; estimation method; exponential smoothing method; forecasting accuracy; genetic algorithm; order ARMA model equation; prepared frozen foods; smoothing constant; Accuracy; Equations; Forecasting; Market research; Mathematical model; Production; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044669
  • Filename
    7044669
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3563668