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Runtime adaptation of technical systems: An architectural framework for self-configuration and self-improvement at runtime - Softcover
Synopsis
This book introduces a novel system design approach and the corresponding framework to enable capabilities like self-configuration and self-improvement for parametrisable systems at runtime. As a result of these capabilities, systems equipped with the framework as additional control mechanism are characterised by aspects like adaptivity and robustness. Besides the general system design, the book investigates the possibility of applying machine learning techniques to real-world applications - two novel variants of Learning Classifier Systems and Fuzzy Classifier Systems are developed. These modified machine learning techniques are integrated into the framework. Thereby, they take over the responsibility of the self-improvement tasks of the system. Applications from various domains (e.g. vehicular traffic, data communication, and function approximation) serve as test bed for the evaluation.
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About the Author
Study of Computer Science (M.Sc.) at Leibniz Universität Hannover, Germany and University of Bristol, UK. Dr.-Ing. degree in Computer Science in 2011 at Leibniz Universität Hannover, System and Computer Architecture Group (Prof. Müller-Schloer). Currently Senior researcher at Universität Augsburg, Chair of Organic Computing.
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Runtime adaptation of technical systems
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Südwestdeutscher Verlag Für Hochschulschriften Feb 2012, 2012
ISBN 10: 3838131339
ISBN 13: 9783838131337
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces a novel system design approach and the corresponding framework to enable capabilities like self-configuration and self-improvement for parametrisable systems at runtime. As a result of these capabilities, systems equipped with the framework as additional control mechanism are characterised by aspects like adaptivity and robustness. Besides the general system design, the book investigates the possibility of applying machine learning techniques to real-world applications - two novel variants of Learning Classifier Systems and Fuzzy Classifier Systems are developed. These modified machine learning techniques are integrated into the framework. Thereby, they take over the responsibility of the self-improvement tasks of the system. Applications from various domains (e.g. vehicular traffic, data communication, and function approximation) serve as test bed for the evaluation. 356 pp. Englisch. Seller Inventory # 9783838131337
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Runtime adaptation of technical systems
Published by
Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838131339
ISBN 13: 9783838131337
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tomforde SvenStudy of Computer Science (M.Sc.) at Leibniz Universitaet Hannover, Germany and University of Bristol, UK. Dr.-Ing. degree in Computer Science in 2011 at Leibniz Universitaet Hannover, System and Computer Architecture Grou. Seller Inventory # 5407418
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Runtime adaptation of technical systems
Published by
Südwestdeutscher Verlag Für Hochschulschriften Feb 2012, 2012
ISBN 10: 3838131339
ISBN 13: 9783838131337
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces a novel system design approach and the corresponding framework to enable capabilities like self-configuration and self-improvement for parametrisable systems at runtime. As a result of these capabilities, systems equipped with the framework as additional control mechanism are characterised by aspects like adaptivity and robustness. Besides the general system design, the book investigates the possibility of applying machine learning techniques to real-world applications - two novel variants of Learning Classifier Systems and Fuzzy Classifier Systems are developed. These modified machine learning techniques are integrated into the framework. Thereby, they take over the responsibility of the self-improvement tasks of the system. Applications from various domains (e.g. vehicular traffic, data communication, and function approximation) serve as test bed for the evaluation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 356 pp. Englisch. Seller Inventory # 9783838131337
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Runtime adaptation of technical systems : An architectural framework for self-configuration and self-improvement at runtime
Published by
Südwestdeutscher Verlag Für Hochschulschriften, 2012
ISBN 10: 3838131339
ISBN 13: 9783838131337
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces a novel system design approach and the corresponding framework to enable capabilities like self-configuration and self-improvement for parametrisable systems at runtime. As a result of these capabilities, systems equipped with the framework as additional control mechanism are characterised by aspects like adaptivity and robustness. Besides the general system design, the book investigates the possibility of applying machine learning techniques to real-world applications - two novel variants of Learning Classifier Systems and Fuzzy Classifier Systems are developed. These modified machine learning techniques are integrated into the framework. Thereby, they take over the responsibility of the self-improvement tasks of the system. Applications from various domains (e.g. vehicular traffic, data communication, and function approximation) serve as test bed for the evaluation. Seller Inventory # 9783838131337