Yee, Elias and Teo, Jason Tze Wi (2011) Evolutionary spiking neural networks as racing car controllers. In: 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, 5-8 December 2011, Malacca, Malaysia.
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Official URL: http://dx.doi.org/10.1109/HIS.2011.6122141
Abstract
The Izhikevich spiking neural network model is investigated as a method to develop controllers for a simple, but not trivial, car racing game, called TORCS. The controllers are evolved using Evolutionary Programming, and the performance of the best individuals is compared with the hand-coded controller included with the Simulated Car Racing Championship API. The results are promising, indicating that this neural network model can be applied to other games or control problems.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Uncontrolled Keywords: | Car racing, Evolutionary programming, Games, Izhikevich neuron model, Spiking neural networks, TORCS |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science |
| Divisions: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 10 May 2012 17:13 |
| Last Modified: | 08 Sep 2014 16:43 |
| URI: | https://eprints.ums.edu.my/id/eprint/4107 |
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