Sets of multivariable functions that can be approximated with “dimension-independent” rates either by linear approximators or by neural networks having various types of computational units are compared. The comparison is made by exhibiting families of functions belonging to suitable difference sets

On Dimension-Independent Approximation by Neural Networks and Linear Approximators

GIULINI, SAVERIO;SANGUINETI, MARCELLO
2000

Abstract

Sets of multivariable functions that can be approximated with “dimension-independent” rates either by linear approximators or by neural networks having various types of computational units are compared. The comparison is made by exhibiting families of functions belonging to suitable difference sets
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/198731
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