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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization (Hardcover, 2015 ed.)
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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization (Hardcover, 2015 ed.)
Series: Studies in Computational Intelligence, 601
Expected to ship within 12 - 17 working days
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This book presents recent advances on the design of intelligent
systems based on fuzzy logic, neural networks and nature-inspired
optimization and their application in areas such as, intelligent
control and robotics, pattern recognition, time series prediction
and optimization of complex problems. The book is organized in
eight main parts, which contain a group of papers around a similar
subject. The first part consists of papers with the main theme of
theoretical aspects of fuzzy logic, which basically consists of
papers that propose new concepts and algorithms based on fuzzy
systems. The second part contains papers with the main theme of
neural networks theory, which are basically papers dealing with new
concepts and algorithms in neural networks. The third part contains
papers describing applications of neural networks in diverse areas,
such as time series prediction and pattern recognition. The fourth
part contains papers describing new nature-inspired optimization
algorithms. The fifth part presents diverse applications of
nature-inspired optimization algorithms. The sixth part contains
papers describing new optimization algorithms. The seventh part
contains papers describing applications of fuzzy logic in diverse
areas, such as time series prediction and pattern recognition.
Finally, the eighth part contains papers that present enhancements
to meta-heuristics based on fuzzy logic techniques.
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