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010   $a9783642353239
010   $a3642353231
024 7 $a10.1007/978-3-642-35323-9
035   $a(CKB)3400000000102900
035   $a(SSID)ssj0000870778
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035   $a(PQKBTitleCode)TC0000870778
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035   $a(PQKB)11001339
035   $a(DE-He213)978-3-642-35323-9
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035   $a(PPN)168328445
035   $a(EXLCZ)993400000000102900
100   $a20121214d2013      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aSoft Computing Applications in Optimization, Control, and Recognition /$fedited by Patricia Melin, Oscar Castillo
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (VIII, 344 p.)
225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a9783642353222 
311 08$a3642353223 
320   $aIncludes bibliographical references and index.
327   $aPart I Optimization Methods and Applications -- Part II Soft Computing in Intelligent Control Applications -- Part III Soft Computing in Pattern Recognition Applications -- Part IV Soft Computing: Theory and new Models.
330   $aSoft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.
410  0$aStudies in Fuzziness and Soft Computing,$x1860-0808
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aPattern recognition systems
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aAutomated Pattern Recognition
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aPattern recognition systems.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aAutomated Pattern Recognition.
676   $a006.3
701   $aCastillo$b Oscar$f1959-$0762265
701   $aMelin$b Patricia$f1962-$0762263
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438045703321
996   $aSoft computing applications in optimization, control, and recognition$94197529
997   $aUNINA