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_aSpringerLink (Online service) _9106996 |
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| 001 | 118163 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113846.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 191017s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030222734 | ||
| 024 | 7 |
_a10.1007/978-3-030-22273-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK7882 .P3 _b2020 EB |
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| 100 | 1 |
_aGopi, E. S. _997087 |
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| 245 | 1 | 0 |
_aPattern Recognition and Computational Intelligence Techniques Using Matlab _cby E. S. Gopi |
| 250 | _aPrimera edición 2020 | ||
| 264 | 1 |
_aCham _bSpringer _c2020 |
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| 300 |
_a1 recurso en línea (XIII, 256 páginas) _b 137 ilustraciones, 127 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aTransactions on Computational Science and Computational Intelligence _x2569-7072 |
|
| 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 | 3 | _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. | |
| 988 | _aPrimersemestre_2020_Engineering | ||
| 650 | 7 |
_2embne _aReconocimiento de formas _9152614 |
|
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030222727 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030222741 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030222758 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-22273-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b04/2020 _dz _eu _zSI |
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