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The greatest allowed error of linearly separable switching functions

Autor
Freixas, J.; Molinero, X.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on neural networks
Data de publicació
2008-05
Volum
19
Número
5
Pàgina inicial
770
Pàgina final
781
DOI
https://doi.org/10.1109/TNN.2007.912573 Obrir en finestra nova
Resum
An important consideration when applying neural networks is the sensitivity to weights and threshold in strict separating systems representing a linearly separable function. Perturbations may affect weights and threshold so that it is important to estimate the maximal percentage error in weights and threshold, which may be allowed without altering the linearly separable function. In this paper, we provide the greatest allowed bound which can be associated to every strict separating system repres...
Grup de recerca
GRTJ - Grup de Recerca en Teoria de Jocs

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