Descripción del título
Design of Intelligent Syste...
This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques
Monografía
monografia Rebiun22803091 https://catalogo.rebiun.org/rebiun/record/Rebiun22803091 cr#nn#008mamaa 150612s2015 gw s 00 0 eng d 9783319177472 9783319177465 9783319177489 9783319369617 10.1007/978-3-319-17747-2 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization Recurso electrónico] edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk Cham Springer International Publishing 2015 Cham Cham Springer International Publishing Cham Springer International Publishing Imprint: Springer 2015 Cham Cham Springer International Publishing Imprint: Springer XII, 637 p. 307 il., 226 il. col XII, 637 p. 307 il., 226 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 601 Bibliographic Level Mode of Issuance: Monograph Part I Fuzzy Logic Theory -- Part II Neural Networks Theory -- Part III Neural Networks Applications -- Part IV Nature Inspired Optimization -- Part V Nature Inspired Optimization Applications -- Part VI Optimization: Theory and Applications -- Part VII Fuzzy Logic Applications -- Part VIII Fuzzy Logic and Metaheuristic This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques English Engineering Artificial intelligence Mathematical optimization Computational Intelligence. Artificial Intelligence. Optimization. Control, Robotics, Mechatronics. Engineering Artificial intelligence Mathematical optimization Computational Intelligence Artificial Intelligence Optimization Control, Robotics, Mechatronics Melin, Patricia ed. lit Castillo, Oscar ed. lit Kacprzyk, Janusz ed. lit 3-319-17746-X Studies in Computational Intelligence 601