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A new scheme for training feed-forward neural networks

โœ Scribed by Osama Abdel-Wahhab; M.A. Sid-Ahmed

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
410 KB
Volume
30
Category
Article
ISSN
0031-3203

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โœฆ Synopsis

In this paper we present a new algorithm, which is orders of magnitude faster than the delta rule, for training feed-forward neural networks. It provides a substantial improvement over the method of Scalero and Tepedelenlioglu (IEEE Trans. Signal Process. 40(1) (1992)) in both training time and numerical stability. The method combines the modified back-propagation algorithm described by Scalero and Tepedelenlioglu along with a faster training scheme and has better numerical stability. The algorithm is tested against other methods, and results are presented.

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