04821nam 22007935 450 991029982110332120200705135600.03-319-17747-810.1007/978-3-319-17747-2(CKB)3710000000436821(SSID)ssj0001547023(PQKBManifestationID)16140856(PQKBTitleCode)TC0001547023(PQKBWorkID)14796029(PQKB)10199068(DE-He213)978-3-319-17747-2(MiAaPQ)EBC6284675(MiAaPQ)EBC5586558(Au-PeEL)EBL5586558(OCoLC)911182687(PPN)186400144(EXLCZ)99371000000043682120150612d2015 u| 0engurnn#008mamaatxtccrDesign of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization[electronic resource] /edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XII, 637 p. 307 illus., 226 illus. in color.)Studies in Computational Intelligence,1860-949X ;601Bibliographic Level Mode of Issuance: Monograph3-319-17746-X 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.Studies in Computational Intelligence,1860-949X ;601Computational intelligenceArtificial intelligenceMathematical optimizationControl engineeringRoboticsMechatronicsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Control, Robotics, Mechatronicshttps://scigraph.springernature.com/ontologies/product-market-codes/T19000Computational intelligence.Artificial intelligence.Mathematical optimization.Control engineering.Robotics.Mechatronics.Computational Intelligence.Artificial Intelligence.Optimization.Control, Robotics, Mechatronics.511.3Melin Patriciaedthttp://id.loc.gov/vocabulary/relators/edtCastillo Oscaredthttp://id.loc.gov/vocabulary/relators/edtKacprzyk Januszedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299821103321Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization1412363UNINA