Control of autonomous robot behavior using data filtering through adaptive resonance theory
Abstract The aim of the article is to use neural networks to control autonomous robot behavior. The type of the controlling neural network was chosen a backpropagation neural network with a sigmoidal transfer function. The focus in this article is put on the use adaptive resonance theory (ART1) for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing
2017-11-01
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| Series: | Vietnam Journal of Computer Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40595-017-0103-7 |