Nearly exponential approximation for neural networks
Author
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 1 (31 Jan. 2018), pp.103-106, 4 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
4
Main Subjects
Abstract EN
In this paper we prove that any real function in defined on a compact and convex subset of can be approximated by a sigmoidal neural network with one hidden layer , that we call nearly exponential.
American Psychological Association (APA)
Bahiyah, Iman Samir. 2018. Nearly exponential approximation for neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 1, pp.103-106.
https://search.emarefa.net/detail/BIM-1135321
Modern Language Association (MLA)
Bahiyah, Iman Samir. Nearly exponential approximation for neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 1 (2018), pp.103-106.
https://search.emarefa.net/detail/BIM-1135321
American Medical Association (AMA)
Bahiyah, Iman Samir. Nearly exponential approximation for neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 1, pp.103-106.
https://search.emarefa.net/detail/BIM-1135321
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 106
Record ID
BIM-1135321
