Control of autonomous robot behavior using data filtering through adaptive resonance theory

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...

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Bibliographic Details
Main Authors: Adam Barton, Eva Volna, Martin Kotyrba
Format: Article
Language:English
Published: World Scientific Publishing 2017-11-01
Series:Vietnam Journal of Computer Science
Subjects:
Adaptive resonance theory (ART)
Big data
Control neural network
Data filtering
Online Access:http://link.springer.com/article/10.1007/s40595-017-0103-7

Internet

http://link.springer.com/article/10.1007/s40595-017-0103-7

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