Isbn: 9783540724315 - analysis and design of intelligent systems using soft computing techniques: 41 (advances in intelligent and soft computing, 41) (14 resultados)

Softcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2007. Tome 41. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2007. Volume 41. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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Condición: Used. pp. xxi + 855 2nd Edition.

Condición: Used. pp. xxi + 855.

Condición: Used. pp. xxi + 855.

Softcover. Condición: gut. 2007. Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Intelligent and Soft Computing, 41, Band 41) In deutscher Sprache. pages.

Taschenbuch. Condición: Neu. Neuware -This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. 855 pp. Englisch.

Condición: New. In English.

Taschenbuch. Condición: Neu. Analysis and Design of Intelligent Systems Using Soft Computing Techniques | Patricia Melin (u. a.) | Taschenbuch | Advances in Intelligent and Soft Computing | xxi | Englisch | 2007 | Springer | EAN 9783540724315 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together.…

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the IFSA World Congress 2007 held in Cancun, Mexico June 18- 21 Recent research results in Fuzzy Logic and Soft ComputingThis book comprises a selection of papers on new methods for analysis and design of hybrid intellige.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 880 pp. Englisch.…