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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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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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838131337
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Zustand: 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. Bestandsnummer des Verkäufers 5407418
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838131337
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838131337
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