| 000 | 02777nam a2200505 i 4500 | ||
|---|---|---|---|
| 001 | 6267294 | ||
| 003 | IEEE | ||
| 005 | 20190220121645.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151224s2001 maua ob 001 eng d | ||
| 010 | _z 00027506 (print) | ||
| 020 |
_z0262112558 _qalk. paper |
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| 020 |
_a9780262256513 _qelectronic |
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| 020 |
_z9780262112550 _qprint |
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| 035 | _a(CaBNVSL)mat06267294 | ||
| 035 | _a(IDAMS)0b000064818b429c | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQA76.9.S63 _bK43 2001eb |
|
| 082 | 0 | 0 |
_a006.3 _221 |
| 100 | 1 |
_aKecman, V. _q(Vojislav), _d1948- |
|
| 245 | 1 | 0 |
_aLearning and soft computing : _bsupport vector machines, neural networks, and fuzzy logic models / _cVojislav Kecman. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2001. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2001] |
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| 300 |
_a1 PDF (xxxii, 541 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aComplex adaptive systems | |
| 500 | _a"A Bradford book." | ||
| 504 | _aIncludes bibliographical references (p. [531]-538) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aThis textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/24/2015. | ||
| 650 | 0 | _aSoft computing. | |
| 650 | 0 | _aSupport vector machines. | |
| 655 | 0 | _aElectronic books. | |
| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. |
|
| 710 | 2 |
_aMIT Press, _epublisher. |
|
| 776 | 0 | 8 |
_iPrint version _z9780262112550 |
| 830 | 0 | _aComplex adaptive systems | |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267294 |
| 999 |
_c39209 _d39209 |
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