Error Back Propagation Algorithm with Adaptive Learning Rate

Error Back Propagation algorithm is one of the most popular method for training artificial neural networks. Unfortunately, this is also one of the slowest due to constant and small learning rate parameter used to update weights of neurons. There are therefore many methods for dynamic change this par...

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Veröffentlicht in:	The International Conference on Information and Digital Technologies (Online) S. 216 - 222
Hauptverfasser:	Kolbusz, Janusz, Rozycki, Pawel, Lysenko, Oleksandr, Wilamowski, Bogdan M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2019
Schlagworte:	Adaptive learning Approximation algorithms Artificial neural networks Backpropagation EBP algorithm Estimation gradient descent Heuristic algorithms learning rate estimation Neurons Training
ISSN:	2575-677X
Online-Zugang:	Volltext
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