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Applications of Soft Computing

Updating the State of the Art

Yos Sunitiyoso (Hrsg.), Erel Avineri (Hrsg.), Mario Köppen (Hrsg.), Rajkumar Roy (Hrsg.), Keshav Dahal (Hrsg.)

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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

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Schlagwörter

genetic algorithm, modeling, Bayesian network, fuzzy system, evolution, artificial intelligence, pattern recognition, neural network, artificial neural network, cognition, modelling, evolutionary algorithm, evolutionary computation, fuzzy logic, knowledge