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Books > Computing & IT > Applications of computing > Artificial intelligence
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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications (Hardcover, 1st ed. 2021)
Loot Price: R5,146
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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications (Hardcover, 1st ed. 2021)
Series: Studies in Computational Intelligence, 940
Expected to ship within 10 - 15 working days
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We describe in this book, recent developments on fuzzy logic,
neural networks and optimization algorithms, as well as their
hybrid combinations, and their application in areas such as,
intelligent control and robotics, pattern recognition, medical
diagnosis, time series prediction and optimization of complex
problems. The book contains a collection of papers focused on
hybrid intelligent systems based on soft computing. There are some
papers with the main theme of type-1 and type-2 fuzzy logic, which
basically consists of papers that propose new concepts and
algorithms based on type-1 and type-2 fuzzy logic and their
applications. There also some papers that presents theory and
practice of meta-heuristics in different areas of application.
Another group of papers describe diverse applications of fuzzy
logic, neural networks and hybrid intelligent systems in medical
applications. There are also some papers that present theory and
practice of neural networks in different areas of application. In
addition, there are papers that present theory and practice of
optimization and evolutionary algorithms in different areas of
application. Finally, there are some papers describing applications
of fuzzy logic, neural networks and meta-heuristics in pattern
recognition problems.
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