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101 0 $aeng
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181   $ctxt$2rdacontent
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200 10$aRecent Advances on Hybrid Approaches for Designing Intelligent Systems /$fedited by Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (XII, 721 p. 355 illus.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v547
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-05169-5 
327   $aPart 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.
330   $aThis book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v547
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
676   $a006.3
702   $aCastillo$b Oscar$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMelin$b Patricia$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKacprzyk$b Janusz$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299490203321
996   $aRecent Advances on Hybrid Approaches for Designing Intelligent Systems$91951232
997   $aUNINA