The essential order of (LP,P<1) approximation using regular neural networks
Joint Authors
al-Sammak, Umar A.
Bahiyah, Iman Samir
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 1 (31 Jan. 2018), pp.77-83, 7 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Abstract EN
This paper is concerning with essential degree of approximation using regular neural networks and how a multivariate function in spaces for can be approximated using a forward regular neural network.
So, we can have the essential approximation ability of a multivariate function in spaces for using regular FFN.-
American Psychological Association (APA)
Bahiyah, Iman Samir& al-Sammak, Umar A.. 2018. The essential order of (LP,P<1) approximation using regular neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 1, pp.77-83.
https://search.emarefa.net/detail/BIM-1218049
Modern Language Association (MLA)
Bahiyah, Iman Samir& al-Sammak, Umar A.. The essential order of (LP,P<1) approximation using regular neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 1 (2018), pp.77-83.
https://search.emarefa.net/detail/BIM-1218049
American Medical Association (AMA)
Bahiyah, Iman Samir& al-Sammak, Umar A.. The essential order of (LP,P<1) approximation using regular neural networks. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 1, pp.77-83.
https://search.emarefa.net/detail/BIM-1218049
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 82-83
Record ID
BIM-1218049
