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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing
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Название: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing
Автор: Nazmul Siddique, Hojjat Adeli
Издательство: Wiley
Год: 2013
Страниц: 532
Формат: PDF
Размер: 10 Mb
Язык: English

Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge technological paradigms under the umbrellaof computational intelligence. Computational intelligence schemesare investigated with the development of a suitable framework forfuzzy logic, neural networks and evolutionary computing,neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionaryneural systems. Applications to linear and non-linear systems arediscussed with examples.

Key features:

Covers all the aspects of fuzzy, neural and evolutionaryapproaches with worked out examples, MATLAB® exercises andapplications in each chapter
Presents the synergies of technologies of computationalintelligence such as evolutionary fuzzy neural fuzzy andevolutionary neural systems
Considers real world problems in the domain of systemsmodelling, control and optimization
Contains a foreword written by Lotfi Zadeh
Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing is an ideal text for finalyear undergraduate, postgraduate and research students inelectrical, control, computer, industrial and manufacturingengineering.







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