Sinossi
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.
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Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.
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New Learning Paradigms in Soft Computing (Studies in Fuzziness and Soft Computing, 84)
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New Learning Paradigms in Soft Computing
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Springer, Berlin, Physica-Verlag HD, Physica Dez 2001, 2001
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ISBN 13: 9783790814361
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations. 464 pp. Englisch. Codice articolo 9783790814361
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows the use of fuzzy logic, neural networks and evoluationary computations in various machine learning proceduresPresents new trends in machine learningLearning is a key issue in the analysis and design of all kinds of intelligent systems. In rece. Codice articolo 5310386
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Buch. Condizione: Neu. New Learning Paradigms in Soft Computing | Janusz Kacprzyk (u. a.) | Buch | xii | Englisch | 2001 | Physica | EAN 9783790814361 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 101950392
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch. Codice articolo 9783790814361
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations. Codice articolo 9783790814361
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