Tan, Tse Guan and Teo, Jason Tze Wi and Patricia Anthony (2011) A comparison of two sigmoidal-type activation functions in video game controller evolution. In: 2011 IEEE Conference on Sustainable Utilization Development in Engineering and Technology, STUDENT 2011;Semenyih;20 October 2011through21 October 2011, 20-21 October 2011, Semenyih, Kuala Lumpur, Malaysia.
Full text not available from this repository.Abstract
This paper presents an empirical comparison of two sigmoidal-type activation functions in evolutionary artificial neural network models. They are the log-sigmoid and hyperbolic tangent sigmoid activation functions which were investigated in order for evolving neural network controllers to play a classic video game. A Hill-Climbing Neural Network (HillClimbNet) was developed using the hill-climbing method together with a feedforward neural network to automatically create an intelligent controller that can play the screen-capture of Ms. Pac-man arcade game. The experimental results showed that that the HillClimbNet with log-sigmoid outperforms the HillClimbNet with hyperbolic tangent sigmoid when used in the hidden and output layers of the network when the agent plays the game.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Feed-forward artificial neural network, Hill-climbing, Hyperbolic tangent sigmoid, Log-sigmoid, ms. pac-man |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics ?? QA76 ?? |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 30 Apr 2012 16:32 |
| Last Modified: | 08 Sep 2014 16:13 |
| URI: | https://eprints.ums.edu.my/id/eprint/4052 |
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