Effective backpropagation training with variable stepsize
The issue of variable stepsize in the backpropagation training algorithm has been widely investigated and several techniques employing heuristic factors have been suggested to improve training time and reduce convergence to local minima. In this contribution, backpropagation training is based on a m...
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Veröffentlicht in: | Neural networks 1997, Vol.10 (1), p.69-82 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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