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...
Sparad:
| Huvudupphovsman: | |
|---|---|
| Övriga upphovsmän: | |
| Språk: | Undetermined English |
| Publicerad: |
New York
Oxford University Press
1997
|
| Ämnen: | |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
|---|
| Sammanfattning: | 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 |
|---|---|
| Fysisk beskrivning: | 458 p. ill. 25 cm |
| ISBN: | 0195079205 9780195079203 |