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Published by Springer Vieweg 2014-02, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
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Published by Vieweg + Teubner Verlag, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
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Paperback. Condition: Brand New. 2014 edition. 188 pages. 8.25x5.75x0.50 inches. In Stock.
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain - at least to some extent. Therefore three suitable machine learning algorithms are selected - algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Analysis and Design of Machine Learning Techniques | Evolutionary Solutions for Regression, Prediction, and Control Problems | Patrick Stalph | Taschenbuch | xix | Englisch | 2014 | Springer Fachmedien Wiesbaden | EAN 9783658049362 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
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Published by Springer Fachmedien Wiesbaden Feb 2014, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain - at least to some extent. Therefore three suitable machine learning algorithms are selected - algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect. 176 pp. Englisch.
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of technical sciencesIntroduction and Motivation.- Introduction to Function Approximation and Regression.- Elementary Features of Local Learning Algorithms.- Algorithmic Description of XCSF.- How and Why XCSF works.- Evolutionar.
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Feb 2014, 2014
ISBN 10: 3658049367 ISBN 13: 9783658049362
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain ¿ at least to some extent. Therefore three suitable machine learning algorithms are selected ¿ algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.VS Verlag für Sozialw., Abraham-Lincoln-Straße 46, 65189 Wiesbaden 176 pp. Englisch.