Abstract
A fast learning algorithm for feedforward neural networks is described. This algorithm is based on modification to the back-propagation algorithm. The learning rate and momentum coefficient are adapted according to the coefficient of correlation between the downhill gradient and the previous weight update.
| Original language | English |
|---|---|
| Pages (from-to) | 1701-1702 |
| Journal | Electronics Letters |
| Volume | 29 |
| Issue number | 19 |
| Publication status | Published - 1 Jan 1993 |
| Externally published | Yes |
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