Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this...

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Detaylı Bibliyografya
Asıl Yazarlar:	Maryam Ghasemi, Abdolreza Roshani, Peshawa J. Muhammad Ali, Farhad F. Nia, Ehsan Nazemi, Gholam H. Roshani
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Koya University 2021-03-01
Seri Bilgileri:	ARO-The Scientific Journal of Koya University
Konular:	Multilayer perceptron Radial basis functions upgraded Markov model Rock Paper Scissors game
Online Erişim:	https://aro.koyauniversity.org/index.php/aro/article/view/757
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Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

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