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010   $a3-642-33021-5
024 7 $a10.1007/978-3-642-33021-6
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035   $a(DE-He213)978-3-642-33021-6
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100   $a20120925d2013      uy         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 00$aRecent advances on hybrid intelligent systems /$fOscar Castillo, Patricia Melin, and Janusz Kacprzyk (eds.)
205   $a1st ed. 2013.
210   $aBerlin ;$aHeidelberg $cSpringer$dc2013
215   $a1 online resource (XII, 572 p.)
225 1 $aStudies in computational intelligence,$x1860-949X ;$v451
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-33020-7 
320   $aIncludes bibliographical references and author index.
327   $aPart I Hybrid Intelligent Systems for Control and Robotics -- Part II Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction -- Part III Bio-Inspired and Genetic Optimization Methods .-Part IV Intelligent Optimization and Applications -- Part V Evolutionary Methods and Intelligent Computing .
330   $aThis book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.  .
410  0$aStudies in computational intelligence ;$vv. 451.
606   $aArtificial intelligence
606   $aSoft computing
615  0$aArtificial intelligence.
615  0$aSoft computing.
676   $a006.3
701   $aCastillo$b Oscar$f1959-$0762265
701   $aMelin$b Patricia$f1962-$0762263
701   $aKacprzyk$b Janusz$021367
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437762603321
996   $aRecent advances on hybrid intelligent systems$94196594
997   $aUNINA