Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary ComputingКНИГИ » ПРОГРАММИНГ
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.
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.