Analysis and Design of Machine Learning Techniques

Name: Analysis and Design of Machine Learning Techniques
Brand: Springer Fachmedien Wiesbaden
SKU: 9783658049362
Price: 50.02 EUR
Availability: InStock

Evolutionary Solutions for Regression, Prediction, and Control Problems

Autor: Patrick Stalph

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Fachmedien Wiesbaden

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Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of...

Informácie o knihe

Autor

Patrick Stalph

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2014

Stránok

155

EAN

9783658049362

ISBN

3658049367

Enbook ID

02433669

Vydavateľ

Springer Fachmedien Wiesbaden

Hmotnosť

2354

Rozmery

148 x 210 x 9

Kompletný popis

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.

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Analysis and Design of Machine Learning Techniques

Evolutionary Solutions for Regression, Prediction, and Control Problems

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Kompletný popis

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