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...

Full description

Bibliographic Details

Published in:	ARO-The Scientific Journal of Koya University
Main Authors:	Maryam Ghasemi, Abdolreza Roshani, Peshawa J. Muhammad Ali, Farhad F. Nia, Ehsan Nazemi, Gholam H. Roshani
Format:	Article
Language:	English
Published:	Koya University 2021-03-01
Subjects:	Multilayer perceptron Radial basis functions upgraded Markov model Rock Paper Scissors game
Online Access:	https://aro.koyauniversity.org/index.php/aro/article/view/757