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Synopsis
This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
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Présentation de l'éditeur
This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Modular neural networks and type-2 fuzzy systems for pattern recognition. Studies in computational intelligence; Vol. 389.
Edité par
Berlin ; Heidelberg : Springer, 2012
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
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OPp., gebundene Ausgabe. Etat : Gut. X, 214 S.: Ill., graph. Darst.; 25 cm, Cover with little wear, good condition. ISBN: 9783642241383 Sprache: Englisch Gewicht in Gramm: 600. N° de réf. du vendeur 26838
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur a3b91ed44c673e0a2cb6a1a2fd63a86f
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2011, 2011
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9783642241383
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Edité par
Springer Berlin Heidelberg, 2011
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
Neuf
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Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : 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. N° de réf. du vendeur 5053448
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence, 389)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783642241383_new
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Edité par
Springer, Springer Okt 2011, 2011
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9783642241383
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Edité par
Springer, 2011
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. N° de réf. du vendeur 11245312/12
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Modular neural networks and type-2 fuzzy systems for pattern recognition. Studies in computational intelligence; Vol. 389. Patricia Melin
Edité par
Berlin ; Heidelberg : Springer, 2012
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Allemagne
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Etat : gut. 2012. Modular neural networks and type-2 fuzzy systems for pattern recognition. Studies in computational intelligence; Vol. 389. In deutscher Sprache. pages. N° de réf. du vendeur BN553172
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Edité par
Springer-Verlag New York Inc, 2011
ISBN 10 : 3642241387
ISBN 13 : 9783642241383
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 2012 edition. 224 pages. 9.25x6.25x0.75 inches. In Stock. N° de réf. du vendeur x-3642241387
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9783642241383
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