Abstract
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This approach provides semi supervised learning in unknown environment with incremental learning inherent to ART and capability of adaptation to transformation of images inherent to MLP. Proposed approach is evaluated in experiments with program model of robot. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Gavrilov, A., & Lee, S. (2007). Usage of hybrid neural network model MLP-ART for navigation of mobile robot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 182–191). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_21
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