• DocumentCode
    3290012
  • Title

    Artificial Intelligence in Sports Prediction

  • Author

    McCabe, Alan ; Trevathan, Jarrod

  • Author_Institution
    MAIT Technol., Belfast
  • fYear
    2008
  • fDate
    7-9 April 2008
  • Firstpage
    1194
  • Lastpage
    1197
  • Abstract
    This paper presents an extension of earlier work in the use of artificial intelligence for prediction of sporting outcomes. An expanded model is described, as well as a broadening of the area of application of the original work. The model used is a form of multi-layer perceptron and it is presented with a number of features which attempt to capture the quality of various sporting teams. The system performs well and compares favourably with human tipsters in several environments. A study of less rigid "World Cup" formats appears, along with extensive live testing results in a major international tipping competition.
  • Keywords
    artificial intelligence; multilayer perceptrons; prediction theory; sport; World Cup; artificial intelligence; human tipsters; major international tipping competition; multilayer perceptron; sporting outcome prediction; Artificial intelligence; Australia; Information technology; Mathematics; Multi-layer neural network; Multilayer perceptrons; Network topology; Neural networks; Page description languages; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-3099-0
  • Type

    conf

  • DOI
    10.1109/ITNG.2008.203
  • Filename
    4492661