Some numerical aspects of the training problem for feed-forward neural nets.
Neural Netw
; 10(8): 1455-1463, 1997 Nov.
Article
en En
| MEDLINE
| ID: mdl-12662486
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.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Idioma:
En
Revista:
Neural Netw
Asunto de la revista:
NEUROLOGIA
Año:
1997
Tipo del documento:
Article
País de afiliación:
Reino Unido