z-logo
open-access-imgOpen Access
ON THE CONVERGENCE RATE OF THE SUBGRADIENT METHOD WITH METRIC VARIATION AND ITS APPLICATIONS IN NEURAL NETWORK APPROXIMATION SCHEMES
Author(s) -
Vladimir Nikolayevich KRUTIKOV,
Natalya S. Samoylenko
Publication year - 2018
Publication title -
vestnik tomskogo gosudarstvennogo universiteta matematika i mekhanika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.246
H-Index - 5
eISSN - 2311-2255
pISSN - 1998-8621
DOI - 10.17223/19988621/55/3
Subject(s) - subgradient method , variation (astronomy) , convergence (economics) , metric (unit) , artificial neural network , rate of convergence , mathematics , mathematical optimization , computer science , artificial intelligence , economics , computer network , physics , channel (broadcasting) , operations management , astrophysics , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom