Abstract
The authors present a new learning algorithm for neural networks with discrete synaptic couplings. The main difference with respect to other previous algorithms is that it is defined in the continuous space. Its performance and features are analysed in detail. © 1992 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted.
| Original language | English |
|---|---|
| Pages (from-to) | 165-176 |
| Journal | Network: Computation in Neural Systems |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jan 1992 |
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