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Books > Computing & IT > Applications of computing > Artificial intelligence
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Paperback, 2012 ed.)
Loot Price: R4,328
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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Paperback, 2012 ed.)
Series: Studies in Computational Intelligence, 389
Expected to ship within 10 - 15 working days
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This book describes hybrid intelligent systems using type-2 fuzzy
logic and modular neural networks for pattern recognition
applications. Hybrid intelligent systems combine several
intelligent computing paradigms, including fuzzy logic, neural
networks, and bio-inspired optimization algorithms, which can be
used to produce powerful pattern recognition systems. Type-2 fuzzy
logic is an extension of traditional type-1 fuzzy logic that
enables managing higher levels of uncertainty in complex real world
problems, which are of particular importance in the area of pattern
recognition. The book is organized in three main parts, each
containing a group of chapters built around a similar subject. The
first part consists of chapters with the main theme of theory and
design algorithms, which are basically chapters that propose new
models and concepts, which are the basis for achieving intelligent
pattern recognition. The second part contains chapters with the
main theme of using type-2 fuzzy models and modular neural networks
with the aim of designing intelligent systems for complex pattern
recognition problems, including iris, ear, face and voice
recognition. The third part contains chapters with the theme of
evolutionary optimization of type-2 fuzzy systems and modular
neural networks in the area of intelligent pattern recognition,
which includes the application of genetic algorithms for obtaining
optimal type-2 fuzzy integration systems and ideal neural network
architectures for solving problems in this area.
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