Computational Intelligence

Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

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Éditeur :

Wiley


Paru le : 2013-05-06



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Description

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.
Pages
536 pages
Collection
n.c
Parution
2013-05-06
Marque
Wiley
EAN papier
9781118337844
EAN PDF
9781118534809

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
536
Taille du fichier
18719 Ko
Prix
129,71 €
EAN EPUB
9781118534816

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
536
Taille du fichier
11919 Ko
Prix
129,71 €

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