Cantitate/Preț
Produs

Recent Advances on Hybrid Approaches for Designing Intelligent Systems (Studies in Computational Intelligence, nr. 547)

Editat de Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk
Notă GoodReads:
en Limba Engleză Paperback – 03 Sep 2016
This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
Citește tot Restrânge
Toate formatele și edițiile
Toate formatele și edițiile Preț Express
Paperback (1) 156366 lei  7-9 săpt. +19444 lei  10-18 zile
  Springer – 03 Sep 2016 156366 lei  7-9 săpt. +19444 lei  10-18 zile
Hardback (1) 170291 lei  7-9 săpt. +39413 lei  10-18 zile
  Springer – 10 Apr 2014 170291 lei  7-9 săpt. +39413 lei  10-18 zile

Din seria Studies in Computational Intelligence

Preț: 156366 lei

Preț vechi: 195458 lei
-20%

Puncte Express: 2345

Preț estimativ în valută:
30129 29123$ 27180£

Carte tipărită la comandă

Livrare economică 15-29 noiembrie
Livrare express 07-15 octombrie pentru 20443 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319382746
ISBN-10: 3319382748
Pagini: 733
Ilustrații: XII, 721 p. 355 illus.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 10.93 kg
Ediția: Softcover reprint of the original 1st ed. 2014
Editura: Springer
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Cham, Switzerland

Cuprins

Part I Type-2 Fuzzy Logic.-
Part II Bio-Inspired Algorithms.-
Part III Neural Networks.-
Part IV Optimization Methods and Applications.-
Part V Evolutionary and Intelligent Methods.

Textul de pe ultima copertă

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Caracteristici

Recent advances on hybrid intelligent systems using soft computing techniques
Presents various aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotics, pattern recognition, time series prediction and other complex real world problems
Useful for researchers and practitioners including theoretical aspects as well as application papers
Includes supplementary material: sn.pub/extras