LEADER 03999nam 22006615 450 001 9910299471903321 005 20200704122454.0 010 $a3-319-04693-4 024 7 $a10.1007/978-3-319-04693-8 035 $a(CKB)3710000000089151 035 $a(DE-He213)978-3-319-04693-8 035 $a(SSID)ssj0001186947 035 $a(PQKBManifestationID)11702528 035 $a(PQKBTitleCode)TC0001186947 035 $a(PQKBWorkID)11240789 035 $a(PQKB)10524826 035 $a(MiAaPQ)EBC3092102 035 $a(PPN)176751580 035 $a(EXLCZ)993710000000089151 100 $a20140222d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSoft Computing Techniques in Engineering Applications /$fedited by Srikanta Patnaik, Baojiang Zhong 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (VI, 206 p. 134 illus., 57 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v543 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-04692-6 320 $aIncludes bibliographical references. 327 $aFrom the Contents: Machine Vision Solutions in Automotive Industry Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application -- Matlab GUI Package for Comparing Data Clustering Algorithms -- Multi Objective Line Symmetry Based Evolutionary Clustering Approach -- An Efficient Method for Contrast Enhancement of Digital Mammographic Images -- Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle -- A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots. 330 $aThe Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.  . 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v543 606 $aComputational intelligence 606 $aOptical data processing 606 $aCognitive psychology 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aCognitive Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20060 615 0$aComputational intelligence. 615 0$aOptical data processing. 615 0$aCognitive psychology. 615 14$aComputational Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aCognitive Psychology. 676 $a620.00285 702 $aPatnaik$b Srikanta$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhong$b Baojiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299471903321 996 $aSoft Computing Techniques in Engineering Applications$92089176 997 $aUNINA