Design Of Intelligent Systems Based On Fuzzy Logic, Neural Networks And Nature-inspired Optimization (studies In Computational Intelligence)
by Oscar Castillo /
2015 / English / PDF
19.2 MB Download
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.
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.