| 000 | 01126 a2200205 4500 | ||
|---|---|---|---|
| 003 | Nust | ||
| 005 | 20221024115530.0 | ||
| 010 | _a 98007011 | ||
| 020 | _a8120323734 | ||
| 040 | _cNust | ||
| 082 | 0 | 0 | _a006.3,HAY |
| 100 | 1 |
_aHaykin, Simon S., _997334 |
|
| 245 | 1 | 0 |
_aNeural networks : _ba comprehensive foundation / _cSimon Haykin. |
| 250 | _a2nd ed. | ||
| 260 |
_aUpper Saddle River, N.J. : _bPrentice Hall, _cc1999. |
||
| 300 |
_axxi, 842 p. : _bill. ; _c25 cm. |
||
| 505 | _aIntroduction (Page-1), Learning Process (Page-50), Single Layer Perceptions (Page-117), Multilayer Perceptions (Page-156), Radial Basis Function Networks (Page-256), Support Vector Machines (Page-318), Committee Machines (Page-351), Principles Components Analysis (Page-392), Self Organizing Maps (Page-443), Information Theoretic Models (Page-484), Stochastic Machines And Their Approximates Rooted In Statistical Mechanics (Page-545), Nerurodynamic Programming (Page-635), Neurodynamics (Page-664), Dynamically Driven Recurrent Networks (Page-732), | ||
| 650 | 0 |
_aNeural networks (Computer science) _918586 |
|
| 942 |
_2ddc _cBK _k006.3,HAY |
||
| 999 |
_c179459 _d179459 |
||