Please use this identifier to cite or link to this item: https://elib.utmn.ru/jspui/handle/ru-tsu/39099
Title: Analytic function approximation by path-norm-regularized deep neural networks
Authors: Beknazaryan, A.
Бекназарян, А.
Keywords: analytic functions
deep neural networks
exponential convergence
path norm regularization
Issue Date: 2022
Publisher: MDPI
Citation: Beknazaryan, A. (2022). Analytic function approximation by path-norm-regularized deep neural networks. Entropy (Basel, Switzerland), 24(8), 1136. doi:10.3390/e24081136
Abstract: We show that neural networks with an absolute value activation function and with network path norm, network sizes and network weights having logarithmic dependence on (Formula presented.) can (Formula presented.) -approximate functions that are analytic on certain regions of (Formula presented.). © 2022 by the author.
URI: https://elib.utmn.ru/jspui/handle/ru-tsu/39099
ISSN: 1099-4300
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS

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