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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Koya University
2021-03-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | https://aro.koyauniversity.org/index.php/aro/article/view/757 |