| 000 | 01385pam a2200217 a 4500 | ||
|---|---|---|---|
| 999 |
_c51459 _d53006 |
||
| 003 | ISURa | ||
| 008 | 950822s1995 enka b 001 0 eng | ||
| 020 | _a0198538499 | ||
| 020 | _a0198538642 | ||
| 041 | _aEnglish | ||
| 082 | 0 | 0 |
_a006.4 _2BIS |
| 100 | 1 |
_aBishop, Christopher M. _970190 |
|
| 245 | 1 | 0 | _aNeural networks for pattern recognition |
| 260 |
_aOxford _bClarendon Press _aNew York _bOxford University Press _c1995. |
||
| 300 |
_axvii, 482 p. _c24 cm. |
||
| 500 | _axvii, 482 pages : illustrations ; 24 cm Contents: 1. Statistical Pattern Recognition -- 2. Probability Density Estimation -- 3. Single-Layer Networks -- 4. The Multi-layer Perceptron -- 5. Radial Basis Functions -- 6. Error Functions -- 7. Parameter Optimization Algorithms -- 8. Pre-processing and Feature Extraction -- 9. Learning and Generalization -- 10. Bayesian Techniques. | ||
| 520 | _aThis book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books. | ||
| 650 | 0 |
_aNeural networks (Computer science) _972626 |
|
| 650 | 0 |
_aPattern recognition systems. _970193 |
|
| 942 |
_2ddc _cLN |
||