Improvements to the Backpropagation Algorithm

Mircea Petrini ()
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Mircea Petrini: University of Petroşani, Romania

Annals of the University of Petrosani, Economics, 2012, vol. 12, issue 4, 185-192

Abstract: This paper presents some simple techniques to improve the backpropagation algorithm. Since learning in neural networks is an NP-complete problem and since traditional gradient descent methods are rather slow, many alternatives have been tried in order to accelerate convergence. Some of the proposed methods are mutually compatible and a combination of them normally works better than each method alone.

Keywords: Artificial Neural Network (ANN); backpropagation; extended network (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:pet:annals:v:12:y:2012:i:4:p:185-192

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