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