Pattern recognition using neural networks theory and algorithms for engineers and scientists
Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach...
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| Tác giả chính: | |
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| Tác giả khác: | |
| Ngôn ngữ: | Undetermined English |
| Được phát hành: |
New York
Oxford University Press
1997
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| LEADER | 01283nam a2200277Ia 4500 | ||
|---|---|---|---|
| 001 | TVU_11668 | ||
| 008 | 210423s9999 xx 000 0 und d | ||
| 020 | |a 0195079205 | ||
| 020 | |a 9780195079203 | ||
| 041 | |a eng | ||
| 082 | |a 6.4 | ||
| 082 | |b C278 | ||
| 100 | |a Looney, Carl G. | ||
| 245 | 0 | |a Pattern recognition using neural networks | |
| 245 | 0 | |b theory and algorithms for engineers and scientists | |
| 245 | 0 | |c Carl G. Looney | |
| 260 | |a New York | ||
| 260 | |b Oxford University Press | ||
| 260 | |c 1997 | ||
| 300 | |a 458 p. | ||
| 300 | |b ill. | ||
| 300 | |c 25 cm | ||
| 520 | |a Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination | ||
| 650 | |a Pattern recognition systems; Neural networks (Computer science) | ||
| 700 | |a Carl G. Looney | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Trà Vinh | ||