Type-2 Fuzzy Neural Networks and Their Applications

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Table des matières

Fuzzy Sets.- Evolutionary Computing and Type-2 Fuzzy Neural Networks.- Type-1 and Type-2 Fuzzy Neural Networks.- Type-2 Fuzzy Clustering.- Application of Type-2 Fuzzy Neural Networks.

Résumé

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Détails du produit

• Auteurs: Rafik Azi Aliev, Rafik Aziz Aliev, Babek Ghalib Guirimov
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.01.2016
• EAN: 9783319381596
• ISBN: 978-3-31-938159-6
• Pages: 190
• Dimensions: 155 mm x 11 mm x 235 mm
• Poids: 318 g
• Illustrations: XIII, 190 p. 73 illus.
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; B, Artificial Intelligence, Mathematische Modellierung, computer science, Computational Intelligence, Mathematical modelling, Neural networks (Computer science), neural network, recurrent neural network, type-2 fuzzy set, type-2 fuzzy neural network