000 03651nam a22006015i 4500
001 978-3-030-22273-4
003 DE-He213
005 20220801213600.0
007 cr nn 008mamaa
008 191017s2020 sz | s |||| 0|eng d
020 _a9783030222734
_9978-3-030-22273-4
024 7 _a10.1007/978-3-030-22273-4
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aGopi, E. S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932997
245 1 0 _aPattern Recognition and Computational Intelligence Techniques Using Matlab
_h[electronic resource] /
_cby E. S. Gopi.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIII, 256 p. 137 illus., 127 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 _aTransactions on Computational Science and Computational Intelligence,
_x2569-7080
505 0 _aChapter1: Dimensionality Reduction Techniques -- Chapter2: Linear classifier techniques -- Chapter3: Regression techniques. Chapter4: Probabilistic supervised classifier and unsupervised clustering -- Chapter5: Computational intelligence -- Chapter6: Statistical test in pattern recognition.
520 _aThis book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
650 0 _aTelecommunication.
_910437
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aSignal processing.
_94052
650 0 _aPattern recognition systems.
_93953
650 0 _aData mining.
_93907
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aData Mining and Knowledge Discovery.
_932998
710 2 _aSpringerLink (Online service)
_932999
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030222727
776 0 8 _iPrinted edition:
_z9783030222741
776 0 8 _iPrinted edition:
_z9783030222758
830 0 _aTransactions on Computational Science and Computational Intelligence,
_x2569-7080
_933000
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22273-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75351
_d75351