000 03708nam a22006135i 4500
001 978-3-540-32378-5
003 DE-He213
005 20161121231022.0
007 cr nn 008mamaa
008 100806s2005 gw | s |||| 0|eng d
020 _a9783540323785
_9978-3-540-32378-5
024 7 _a10.1007/b97585
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM031000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aMelin, Patricia.
_eauthor.
245 1 0 _aHybrid Intelligent Systems for Pattern Recognition Using Soft Computing
_h[electronic resource] :
_bAn Evolutionary Approach for Neural Networks and Fuzzy Systems /
_cby Patricia Melin, Oscar Castillo.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aXIV, 272 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v172
505 0 _aIntroduction to Pattern Recognition with Intelligent Systems -- Type-1 Fuzzy Logic -- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic -- Supervised Neural Networks -- Unsupervised Neural Networks -- Modular Neural Networks -- Evolutionary Computing for Architecture Optimization -- Clustering with Intelligent Techniques -- Face Recognition with Modular Neural Networks and Fuzzy Measures -- Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures -- Voice Recognition with Neural Networks and Genetic Algorithms -- Human Recognition Using Face, Fingerprint and Voice.
520 _aThis monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aComputer Science.
650 2 4 _aTheory of Computation.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aSignal, Image and Speech Processing.
700 1 _aCastillo, Oscar.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540241218
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v172
856 4 0 _uhttp://dx.doi.org/10.1007/b97585
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507361
_d507361