par Basios, Vasileios 
;Bonushkina, Yu;Ivanov, Valery
Référence Computers & mathematics with applications, 34, 7-8, page (687-693)
Publication Publié, 1997-10
;Bonushkina, Yu;Ivanov, ValeryRéférence Computers & mathematics with applications, 34, 7-8, page (687-693)
Publication Publié, 1997-10
Article révisé par les pairs
| Résumé : | A nontraditional approach is presented to the approximation of a one-dimensional function defined on a discrete set of points. The method is based on the application of an artificial feed-forward neural network, which realizes expansion of the function considered in orthogonal Chebyshev polynomials and which calculates the expansion coefficients during the network training. |
