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, MATLABĀ® 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.
- ISBN10 1118337840
- ISBN13 9781118337844
- Publish Date 10 May 2013 (first published 1 January 2013)
- Publish Status Active
- Publish Country US
- Imprint John Wiley & Sons Inc
- Format Hardcover
- Pages 532
- Language English