Accelerating neural network training using weight extrapolations

The backpropagation (BP) algorithm for training feedforward neural networks has proven robust even for difficult problems. However, its high performance results are attained at the expense of a long training time to adjust the network parameters, which can be discouraging in many real-world applicat...

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Veröffentlicht in:	Neural networks 1999-11, Vol.12 (9), p.1285-1299
Hauptverfasser:	Kamarthi, S.V., Pittner, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Backpropagation algorithm Computer science control theory systems Conjugate gradient method Control system analysis Control theory. Systems Convergence acceleration Exact sciences and technology Extrapolation methods Linear regression Multilayer neural networks Parameter estimation Relative entropy
Online-Zugang:	Volltext
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