Isbn: 9783642270277 - modular neural networks and type-2 fuzzy systems for pattern recognition: 389 (14 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer Vieweg, 2013

    3642270271 / 9783642270277

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area. …

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Taschenbuch. Condizione: Neu. Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition | Patricia Melin | Taschenbuch | Studies in Computational Intelligence | x | Englisch | 2013 | Springer | EAN 9783642270277 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Condizione: New. pp. 226.

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 239,04

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    Paperback. Condizione: Brand New. 2012 edition. 224 pages. 9.25x6.10x0.51 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2013, 2013

    3642270271 / 9783642270277

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area. 224 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2013

    3642270271 / 9783642270277

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Modular Neural Networks and Type-2 Fuzzy Systems Presents important applications to Pattern Recognition Written by a leading expert in the fieldThis book describes hybrid intelligent systems using type-2 fuzzy logic.…

  • Lingua: Inglese

    Editore: Springer, Springer Nov 2013, 2013

    3642270271 / 9783642270277

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Condizione: New. Print on Demand pp. 226 151 illus. (67 Col.).

  • Lingua: Inglese

    Editore: Springer, 2013

    3642270271 / 9783642270277

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: New. PRINT ON DEMAND pp. 226.