Computational Intelligence : Engineering of Hybrid Systems

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 techno...

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Détails bibliographiques
Auteurs principaux: Negoita, Mircea Gh, Neagu, Daniel (Auteur), Palade, Vasile (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg 2005.
Cham : Springer Nature
Collection:Studies in Fuzziness and Soft Computing 174
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Computational Intelligence, Texte imprimé, 9783642062247
• Computational Intelligence, Texte imprimé, 9783540804208
• Computational Intelligence, Texte imprimé, 9783540232193
Description
Résumé: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.
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540323693
ISSN:1860-0808
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