LEADER 03387nam 2200637Ia 450 001 9910438045703321 005 20200520144314.0 010 $a9783642353239 010 $a3642353231 024 7 $a10.1007/978-3-642-35323-9 035 $a(CKB)3400000000102900 035 $a(SSID)ssj0000870778 035 $a(PQKBManifestationID)11474731 035 $a(PQKBTitleCode)TC0000870778 035 $a(PQKBWorkID)10820539 035 $a(PQKB)11001339 035 $a(DE-He213)978-3-642-35323-9 035 $a(MiAaPQ)EBC3070866 035 $a(PPN)168328445 035 $a(EXLCZ)993400000000102900 100 $a20121227d2013 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aSoft computing applications in optimization, control, and recognition /$fPatricia Melin and Oscar Castillo (eds.) 205 $a1st ed. 2013. 210 $aHeidelberg ;$aNew York $cSpringer$dc2013 215 $a1 online resource (VIII, 344 p.) 225 1 $aStudies in fuzziness and soft computing ;$v294 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 ;$vv. 294. 606 $aIntelligent control systems 606 $aMathematical optimization 606 $aPattern perception 606 $aSoft computing 615 0$aIntelligent control systems. 615 0$aMathematical optimization. 615 0$aPattern perception. 615 0$aSoft computing. 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