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Neural Networks, Support Vector Machine and Genetic Algorithms for Autonomous Underwater Robot Support
Abstract
In this paper, artificial neural networks, a classification technique called support vector machine and meta-heuristics genetic algorithm have been considered for development in autonomous underwater robots. Artificial neural networks have been used for seabed modelling as well as support vector machine has been applied for the obstacles classification to avoid some collision problems. Moreover, genetic algorithm has been applied to trajectory planning of underwater robots. Finally, some numerical experiments have been presented.
Authors (4)
-
Jan Masiejczyk
- Akademia Marynarki Wojennej Instytut Informatyki
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- W : Advances in Neural Networks, Fuzzy Systems and Artificial Intelligence strony 51 - 56
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Balicki J., Masiejczyk J., Przybecki P., Zadroga M.: Neural Networks, Support Vector Machine and Genetic Algorithms for Autonomous Underwater Robot Support// W : Advances in Neural Networks, Fuzzy Systems and Artificial Intelligence/ ed. Jerzy Balicki Athens: WSEAS press, 2014, s.51-56
- Verified by:
- Gdańsk University of Technology
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