LEADER 04237nam  22007455  450 
001 9910366621503321
005 20200703125659.0
010   $a3-030-22273-X
024 7 $a10.1007/978-3-030-22273-4
035   $a(CKB)4100000009590456
035   $a(MiAaPQ)EBC5962859
035   $a(DE-He213)978-3-030-22273-4
035   $a(PPN)242824609
035   $a(EXLCZ)994100000009590456
100   $a20191017d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPattern Recognition and Computational Intelligence Techniques Using Matlab /$fby E. S. Gopi
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (263 pages)
225 1 $aTransactions on Computational Science and Computational Intelligence,$x2569-7072
300   $aIncludes index.
311   $a3-030-22272-1 
327   $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.
330   $aThis book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
410  0$aTransactions on Computational Science and Computational Intelligence,$x2569-7072
606   $aElectrical engineering
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aPattern perception
606   $aData mining
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aElectrical engineering.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aPattern perception.
615  0$aData mining.
615 14$aCommunications Engineering, Networks.
615 24$aMathematical and Computational Engineering.
615 24$aSignal, Image and Speech Processing.
615 24$aPattern Recognition.
615 24$aData Mining and Knowledge Discovery.
676   $a006.4
700   $aGopi$b E. S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0872839
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910366621503321
996   $aPattern Recognition and Computational Intelligence Techniques Using Matlab$92527600
997   $aUNINA