๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Construction of neural networks to approximate arbitrary continuous functions of one variable

โœ Scribed by Choi, C.-H.; Choi, J.Y.

Book ID
119950250
Publisher
The Institution of Electrical Engineers
Year
1992
Tongue
English
Weight
278 KB
Volume
28
Category
Article
ISSN
0013-5194

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Neural network approximation of continuo
Neural network approximation of continuous functionals and continuous functions on compactifications
โœ M.B. Stinchcombe ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 164 KB

This article characterizes the set of activation functions, bounded or unbounded, that allow feedforward network approximation of the continuous functions on the classic two-point compactification of R 1 . The characterization fails when the set of targets are continuous functions on the classic com

Approximation of continuous functions of
Approximation of continuous functions of several variables by an arbitrary nonlinear continuous function of one variable, linear functions, and their superpositions
โœ A.N. Gorban ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 315 KB

Linear spaces of continuous functions of real variables closed under the superposition operation are considered. It has been proved that when such a space contains constants, linear functions, and at least one nonlinear function, it is dense in the space of all continuous functions in the topology o