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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