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Some numerical aspects of the training problem for feed-forward neural nets

✍ Scribed by John. J. McKeown; Fabio Stella; Gary Hall


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
223 KB
Volume
10
Category
Article
ISSN
0893-6080

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✦ Synopsis


This paper considers the feed-forward training problem from the numerical point of view, in particular the conditioning of the problem. It is well known that the feed-forward training problem is often ill-conditioned; this affects the behaviour of training algorithms, the choice of such algorithms and the quality of the solutions achieved. A geometric interpretation of ill-conditioning is explored and an example of function approximation is analysed in detail. ᭧ 1997 Elsevier Science Ltd.