Computational Intelligence : Engineering of Hybrid Systems (Studies in Fuzziness and Soft Computing)
Editorial Reviews
Book Description
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.
Computational Intelligence: Engineering of Hybrid Systems (Studies in Fuzziness and Soft Computing),Mircea Negoita,Daniel Neagu,Vasile Palade,Springer,3540232192,Applied,Artificial Intelligence - General,Computational intelligence,Computer Books: General,Computers,Fuzzy logic,Life Sciences - Biology - General,Mathematics,Reference,Evolutionary Computation,Fuzzy Systems,Intelligent Hybrid Systems,Mathematics / Applied
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