| 000 | 00702nam a2200145Ia 4500 | ||
|---|---|---|---|
| 020 | _a978-0201566291 | ||
| 100 | _aFreeman J.A | ||
| 245 | _aSimulating neural networks with mathematica | ||
| 260 |
_c1994 _bAddison Wesley _aEngland |
||
| 300 |
_ax,341p _b23 cm ; Hard Bound |
||
| 500 | _aRs.570/- | ||
| 505 | _a1. Introduction to Neural Networks and Mathematica 2. Training by Error Minimization 3. Backpropagation and Its Variants 4. Probability and Neural Networks 5. Optimization and Constraint Satisfaction with Neural Networks 6. Feedback and Recurrent Networks 7. Adaptive Resonance Theory 8. Genetic Algorithms | ||
| 650 |
_aComputer Science _aMathematica - Computer program |
||
| 942 | _cBK | ||
| 999 |
_c78298 _d78298 |
||