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| 001 | 59547 | ||
| 010 | _a 2013372134 | ||
| 020 | _a9789814522731 | ||
| 040 | _aDLC | ||
| 082 | 0 | 0 | _a006.3/2 |
| 100 | 1 |
_aGraupe, Daniel _917826 |
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| 245 | 1 | 0 |
_aPrinciples of artificial neural networks _cDaniel Graupe |
| 250 | _a3rd ed. | ||
| 260 |
_aNew Jersey : _bWorld Scientific, _c2013. |
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| 300 |
_axviii, 363 p. : _bill. ; _c26 cm. |
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| 490 | 0 |
_aAdvanced series on circuits and systems ; _vvolume 7 |
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| 504 | _aIncludes bibliographical references (p. 349-356) and indexes. | ||
| 520 | _aThis volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. | ||
| 650 | 0 |
_aNeural networks (Computer science) _910484 |
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| 856 |
_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map |
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| 942 |
_cREGULAR _2ddc |
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