| 000 | 00803nam a2200253Ia 4500 | ||
|---|---|---|---|
| 005 | 20250117103527.0 | ||
| 008 | 008 250103s9999 xx 000 0 eng d | ||
| 020 | _a9780000988997 | ||
| 037 | _aTextual | ||
| 040 |
_aCSL _beng _cCSL |
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| 041 |
_aeng _2eng |
||
| 084 |
_aD65,8(B):(S:72) R0 _qCSL |
||
| 100 |
_aGraupe, Daniel _9731528 |
||
| 245 | 0 |
_aPrinciples of artificial neural networks: Basic design to deep learning _cGraupe, Daniel |
|
| 250 | _a4th | ||
| 260 |
_aSingapore _bWorld Scientific _c2020 |
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| 300 | _axvi, 422p. ill. | ||
| 650 |
_a Adaptive resonance theory _9733650 |
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| 650 |
_a Hopfield networks _9733651 |
||
| 650 |
_a Statistical theory _9733652 |
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| 650 | _aComputer Science | ||
| 942 |
_cTEXL _hD65,8(B):(S:72) R0 |
||
| 999 |
_c1237645 _d1237645 |
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