A Fast Procedure for Retraining the Multilayer Perceptron

C. M. Bishop

Research output: Contribution to journalArticlepeer-review


In this paper we describe a fast procedure for re-training a feed-forward network, previously trained by error back-propagation, following a small change in the training data. This technique would permit fine calibration of individual neural network based control systems in a mass-production environment. We also derive a generalised error back-propagation algorithm which allows an exact evaluation of all of the terms in the Hessian matrix. The fast re-training procedure is illustrated using a simple example.

Original languageEnglish
Pages (from-to)229–236
Number of pages8
JournalInternational Journal of Neural Systems
Issue number3
Publication statusPublished - 1 Jan 1991


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