Simple adaptive momentum: new algorithm for training multilayer perceptronsSwanston, 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 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1049/el:19941014 Abstract/SummaryThe 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.
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