• DocumentCode
    3152115
  • Title

    Naphtha’s price forecasting using Neuro-fuzzy system

  • Author

    Visetsripong, Porntip ; Sooraksa, Pitikhate ; Luenam, Pramote ; Chaimongkol, Watchareeporn

  • Author_Institution
    Joint Master of Sci. Program in Inf. Technol. Manage., Nat. Inst. of Dev. Adm., Bangkok
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    Naphthapsilas price forecasting using Neuro-fuzzy system is a forecasting technique that applied information technology with statistics. 1950 daily prices were collected as a time-series data with trend component. The research found that Neuro-Fuzzy system is more accurate and more reliable than a statistical method; it also works well with continuous data and performs better with more training data. Neuro-Fuzzy system might be used with different data type, but, it might come across with other factors, e.g. seasonal or irregular event. The research also illustrates the multidisciplinary nature in todaypsilas world of works in the era of merging among many disciplines.
  • Keywords
    economic forecasting; fuzzy neural nets; pricing; statistical analysis; neuro-fuzzy system; price forecasting; statistical method; time-series data; Biological neural networks; Computer networks; Electronic mail; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Information technology; Smoothing methods; Statistics; Technology forecasting; ANFIS; Neuro-fuzzy system; statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4654738
  • Filename
    4654738