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Computational Intelligence: Engineering of Hybrid Systems: 174 (Studies in Fuzziness and Soft Computing) - Hardcover
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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.
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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.
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Zustand: New. Introduction to the engineering aspects of intelligent hybrid systemsPresents fundamentals, background information, and practical methods for building an intelligent hybrid systemQuickly familiarizes newcomers to the field with engineering . Bestandsnummer des Verkäufers 4885834
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Computational Intelligence: Engineering of Hybrid Systems (Studies in Fuzziness and Soft Computing, 174)
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Computational Intelligence
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Zustand: New. Series: Studies in Fuzziness and Soft Computing. Num Pages: 213 pages, biography. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 240 x 160 x 14. Weight in Grams: 512. . 2005. Hardback. . . . . Bestandsnummer des Verkäufers V9783540232193
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Computational Intelligence : Engineering of Hybrid Systems
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2005
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Buch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9783540232193
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