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Books > Computing & IT > Applications of computing > Artificial intelligence
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control (Hardcover, 2010 ed.)
Loot Price: R4,544
Discovery Miles 45 440
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control (Hardcover, 2010 ed.)
Series: Studies in Computational Intelligence, 257
Expected to ship within 10 - 15 working days
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We describe in this book, new methods for evolutionary design of
intelligent s- tems using soft computing and their applications in
modeling, simulation and c- trol. Soft Computing (SC) consists of
several intelligent computing paradigms, including fuzzy logic,
neural networks, and evolutionary algorithms, which can be used to
produce powerful hybrid intelligent systems. The book is organized
in four main parts, which contain a group of papers around a
similar subject. The first part consists of papers with the main
theme of evolutionary design of fuzzy systems in intelligent
control, which consists of papers that propose new methods for
designing and optimizing intelligent controllers for different
applications. The second part c- tains papers with the main theme
of evolutionary design of intelligent systems for pattern
recognition applications, which are basically papers using
evolutionary al- rithms for optimizing modular neural networks with
fuzzy systems for response - tegration, for achieving pattern
recognition in different applications. The third part contains
papers with the themes of models for learning and social
simulation, which are papers that apply intelligent systems to the
problems of designing learning - jects and social agents. The
fourth part contains papers that deal with intelligent s- tems in
robotics applications and hardware implementations. In the part of
Intelligent Control there are 5 papers that describe different c-
tributions on evolutionary optimization of fuzzy systems in
intelligent control. The first paper, by Ricardo Martinez-Marroquin
et al.
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