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Simple adaptive momentum: new algorithm for training multilayer perceptrons

Swanston, D. J., Bishop, J. M. and Mitchell, R. J. (1994) Simple adaptive momentum: new algorithm for training multilayer perceptrons. Electronics Letters, 30 (18). pp. 1498-1500. ISSN 0013-5194

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To link to this item DOI: 10.1049/el:19941014


The speed of convergence while training is an important consideration in the use of neural nets. The authors outline a new training algorithm which reduces both the number of iterations and training time required for convergence of multilayer perceptrons, compared to standard back-propagation and conjugate gradient descent algorithms.

Item Type:Article
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:18869
Uncontrolled Keywords:adaptive momentum, iterations, multilayer perceptrons, neural nets, speed of convergence, training algorithm, training time
Publisher:Institution of Engineering and Technology (IET)

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