Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Improving neural net convergence

Alder, M., Lim, S.G., Hadingham, P. and Attikiouzel, Y. (1992) Improving neural net convergence. Pattern Recognition Letters, 13 (5). pp. 331-338.

Link to Published Version:
*Subscription may be required


This paper shows a certain equivalence between the 3-layer feed forward back-propagation neural net of Rumelhart et al. and the committee net of Nilsson. This is used to produce an improvement in the performance of the former. It is found that (a) the number of epochs taken is reduced by a factor of between 6 and 10, (b) the same taken is reduced by a factor of about 20, and (c) the net converges under conditions when the back-propagation algorithm is trapped in local minima and fails to converge.

Item Type: Journal Article
Publisher: Elsevier B.V.
Copyright: © 1992 Published by Elsevier B.V.
Item Control Page Item Control Page