• DocumentCode
    260346
  • Title

    Recognition of a human behavior pattern in paper rock scissor game using backpropagation artificial neural network method

  • Author

    Cenggoro, Tjeng Wawan ; Kridalaksana, Awang Harsa ; Arriyanti, Eka ; Ukkas, M. Irwan

  • Author_Institution
    Teknik Informatika, STMIK Widya Cipta Dharma, Samarinda, Indonesia
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    Artificial neural network was a information processing paradigm that took a model from the works of biological neural network in processing information hence it would have an ability which seems like human brain. Artificial neural network was able to solve some problems which contain uncertainty inside, which usually only human who could solve it. It was pattern recognition for example. The objective of this research was to find the effectiveness of backpropagation artificial neural network method to recognize human behaviour pattern in paper rock scissor game. The result were: an application using artificial neural network to recognizing human behaviour pattern in paper rock scissor game (1), an effectiveness of backpropagation artificial neural network method to recognize human behaviour pattern in paper rock scissor game (2).
  • Keywords
    backpropagation; neural nets; pattern recognition; backpropagation artificial neural network method; biological neural network; human behavior pattern; human behaviour pattern recognition; information processing paradigm; paper rock scissor game; Artificial neural networks; Backpropagation; Computers; Games; Neurons; Pattern recognition; Rocks; Artificial Neural Network; Backpropagation (key words); Human Behavior Pattern; Paper Rock Scissor Game; Pattern Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology (ICoICT), 2014 2nd International Conference on
  • Conference_Location
    Bandung
  • Type

    conf

  • DOI
    10.1109/ICoICT.2014.6914072
  • Filename
    6914072