| 000 | 01886nam a2200337 a 4500 | ||
|---|---|---|---|
| 005 | 20250930131805.0 | ||
| 008 | 110412s2011 flua b 000 0 eng | ||
| 020 |
_a9781439815359 (hbk.) _cRM319.31 |
||
| 039 | 9 |
_a201107111158 _bzabidah _c201107051008 _drasyilla _y04-12-2011 _zrasyilla |
|
| 040 | _aUKM | ||
| 090 | _aQA76.87.L89 pasca | ||
| 090 |
_aQA76.87 _b.L89 |
||
| 100 | 1 | _aLv, Jian Cheng. | |
| 245 | 1 | 0 |
_aSubspace learning of neural networks / _cJian Cheng Lv, Zhang Yi, Jiliu Zhou. |
| 260 |
_aBoca Raton, Fl. : _bCRC Press, _c2011. |
||
| 300 |
_axxii, 233 p. : _bill. ; _c24 cm. |
||
| 490 | 0 | _aAutomation and control engineering. | |
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a'Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors'-- _cProvided by publisher. |
||
| 650 | 0 |
_aNeural networks (Computer science). _960531 |
|
| 650 | 0 | _aComputer algorithms. | |
| 700 | 1 | _aYi, Zhang. | |
| 700 | 1 | _aZhou, Jiliu. | |
| 907 |
_a.b14996819 _b2021-05-28 _c2019-11-12 |
||
| 942 |
_c01 _n0 _kQA76.87.L89 pasca |
||
| 914 | _avtls003461846 | ||
| 990 | _aza | ||
| 991 | _aFakulti Teknologi dan Sains Maklumat - Pasca | ||
| 998 |
_at _b2011-12-04 _cm _da _feng _gflu _y0 _z.b14996819 |
||
| 999 |
_c484461 _d484461 |
||