DocumentCode
2259533
Title
On dimension-independent approximation by neural networks and linear approximators
Author
Giulini, Saverio ; Sanguineti, Marcello
Author_Institution
Sci. Dept. for Archit., Genoa Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
283
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
Keywords
Hilbert spaces; computational complexity; function approximation; neural nets; set theory; difference sets; dimension-independent approximation; linear approximators; multivariable functions; neural networks; Approximation error; Computer architecture; Computer networks; Electronic mail; Hilbert space; Linear approximation; Neural networks; Neurons; Polynomials; Radial basis function networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.857849
Filename
857849
Link To Document