Overview
- Introduction to the engineering aspects of intelligent hybrid systems
- Presents fundamentals, background information, and practical methods for building an intelligent hybrid system
- Quickly familiarizes newcomers to the field with engineering elements of developing intelligent hybrid systems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 174)
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About this book
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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Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Bibliographic Information
Book Title: Computational Intelligence
Book Subtitle: Engineering of Hybrid Systems
Authors: Mircea Gh. Negoita, Daniel Neagu, Vasile Palade
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/b12051
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-23219-3Published: 17 February 2005
Softcover ISBN: 978-3-642-06224-7Published: 19 November 2010
eBook ISBN: 978-3-540-32369-3Published: 09 March 2005
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XX, 213
Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics, Bioinformatics, Operations Research/Decision Theory