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
Link To Document :
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