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Improvements to the Backpropagation Algorithm

Author

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  • Mircea Petrini

    (University of Petroşani, Romania)

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.

Suggested Citation

  • Mircea Petrini, 2012. "Improvements to the Backpropagation Algorithm," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(4), pages 185-192.
    • Handle: RePEc:pet:annals:v:12:y:2012:i:4:p:185-192
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    More about this item

    Keywords

    Artificial Neural Network (ANN); backpropagation; extended network;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods

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