Computational Intelligence: Engineering Of Hybrid Systems: 174 - Rilegato

Libro 17 di 183: Studies in Fuzziness and Soft Computing

Negoita, Mircea; Neagu, Daniel; Palade, Vasile

 
9783540232193: Computational Intelligence: Engineering Of Hybrid Systems: 174
Rilegato
ISBN 10: 3540232192 ISBN 13: 9783540232193
Casa editrice: Springer-Verlag New York Inc, 2005

Sinossi

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

Hybrid Intelligent Systems has become an important research topic in computer science and application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to Computational Intelligence.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Verlag New York Inc
Data di pubblicazione
2005
Lingua
Inglese
ISBN 10 
3540232192
ISBN 13 
9783540232193
Rilegatura
Copertina rigida
Numero di pagine
213
Contatto del produttore
non disponibile
Persona responsabile
ProductSafety@springernature.com
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783642062247: Computational Intelligence: Engineering of Hybrid Systems: 174

Edizione in evidenza

ISBN 10:  3642062245 ISBN 13:  9783642062247
Casa editrice: Springer, 2010
Brossura