title: Some numerical aspects of the training problem for feed-forward neural nets.
abstract: 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.
authors.affiliation: The Queen's University of Belfast, Belfast, UK
authors.forename: Gary
authors.initials: G
authors.lastname: Hall
authors.forename: Fabio
authors.initials: F
authors.lastname: Stella
authors.forename: John
authors.initials: J
authors.lastname: J McKeown