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Research Article

Feed-Forward Neural Networks Training: A Comparison Between Two Approaches of Back-Propagation Learning Algorithm

Belqasem Aljafari

IJDACR Vol.4 No.8 (March 2016) ISSN 2319-4863 Open Access Peer Reviewed

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 8

Published

March 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Authors

Belqasem Aljafari

Abstract

Back-propagation is one of the most famous training algorithms for multilayer perceptrons. Unfortunately, it can be very slow for practical applications. Over the last years many improvement strategies have been developed to speed up back propagation.

How to Cite

Belqasem Aljafari (2016). Feed-Forward Neural Networks Training: A Comparison Between Two Approaches of Back-Propagation Learning Algorithm. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 8. ISSN: 2319-4863.

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Article Info

Journal IJDACR
Volume Vol. 4
Issue No. 8
Month March
Year 2016
ISSN 2319-4863
Access Open Access

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