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Intelligent Systems - A Modern Approach (Hardcover, 2011 ed.)
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Intelligent Systems - A Modern Approach (Hardcover, 2011 ed.)
Series: Intelligent Systems Reference Library, 17
Expected to ship within 12 - 17 working days
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Computational intelligence is a well-established paradigm, where
new theories with a sound biological understanding have been
evolving. The current experimental systems have many of the
characteristics of biological computers (brains in other words) and
are beginning to be built to perform a variety of tasks that are
difficult or impossible to do with conventional computers. As
evident, the ultimate achievement in this field would be to mimic
or exceed human cognitive capabilities including reasoning,
recognition, creativity, emotions, understanding, learning and so
on. This book comprising of 17 chapters offers a step-by-step
introduction (in a chronological order) to the various modern
computational intelligence tools used in practical problem solving.
Staring with different search techniques including informed and
uninformed search, heuristic search, minmax, alpha-beta pruning
methods, evolutionary algorithms and swarm intelligent techniques;
the authors illustrate the design of knowledge-based systems and
advanced expert systems, which incorporate uncertainty and
fuzziness. Machine learning algorithms including decision trees and
artificial neural networks are presented and finally the
fundamentals of hybrid intelligent systems are also depicted.
Academics, scientists as well as engineers engaged in research,
development and application of computational intelligence
techniques, machine learning and data mining would find the
comprehensive coverage of this book invaluable.
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