Some numerical aspects of the training problem for feed-forward neural nets.
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.
Hall
Gary
G
The Queen's University of Belfast, Belfast, UK
Stella
Fabio
F
J McKeown
John
J