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Context dependent learning in neural networks

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3 Author(s)
Spreeuwers, L.J. ; Twente Univ., Enschede, Netherlands ; Van Der Zwaag, B.J. ; van der Heijden, F.

In this paper an extension to the standard error backpropagation learning rule for multilayer feed forward neural networks is proposed, that enables them to be trained for context dependent information. The context dependent learning is realised by using a different error function (called average risk: AVR) in stead of the sum of squared errors (SQE) normally used in error backpropagation and by adapting the update rules. It is shown that for applications where this context dependent information is important, a major improvement in performance is obtained

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995