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
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