Computational Intelligence: Synergies of Fuzzy Logic, Neural
Networks and Evolutionary Computing presents an introduction to
some of the cutting edge technological paradigms under the umbrella
of computational intelligence. Computational intelligence schemes
are investigated with the development of a suitable framework for
fuzzy logic, neural networks and evolutionary computing,
neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary
neural systems. Applications to linear and non-linear systems are
discussed with examples.
Key features:
* Covers all the aspects of fuzzy, neural and evolutionary
approaches with worked out examples, MATLAB® exercises and
applications in each chapter
* Presents the synergies of technologies of computational
intelligence such as evolutionary fuzzy neural fuzzy and
evolutionary neural systems
* Considers real world problems in the domain of systems
modelling, control and optimization
* Contains a foreword written by Lotfi Zadeh
Computational Intelligence: Synergies of Fuzzy Logic, Neural
Networks and Evolutionary Computing is an ideal text for final
year undergraduate, postgraduate and research students in
electrical, control, computer, industrial and manufacturing
engineering.
