000 03213nam a22005055i 4500
001 978-3-319-04693-8
003 DE-He213
005 20200421112229.0
007 cr nn 008mamaa
008 140222s2014 gw | s |||| 0|eng d
020 _a9783319046938
_9978-3-319-04693-8
024 7 _a10.1007/978-3-319-04693-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aSoft Computing Techniques in Engineering Applications
_h[electronic resource] /
_cedited by Srikanta Patnaik, Baojiang Zhong.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVI, 206 p. 134 illus., 57 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v543
505 0 _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.
520 _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.  .
650 0 _aEngineering.
650 0 _aImage processing.
650 0 _aComputational intelligence.
650 0 _aCognitive psychology.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aCognitive Psychology.
700 1 _aPatnaik, Srikanta.
_eeditor.
700 1 _aZhong, Baojiang.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319046921
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v543
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04693-8
912 _aZDB-2-ENG
942 _cEBK
999 _c57859
_d57859