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https://elib.utmn.ru/jspui/handle/ru-tsu/39099Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Beknazaryan, A. | en |
| dc.contributor.author | Бекназарян, А. | ru |
| dc.date.accessioned | 2026-01-13T06:27:28Z | - |
| dc.date.available | 2026-01-13T06:27:28Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Beknazaryan, A. (2022). Analytic function approximation by path-norm-regularized deep neural networks. Entropy (Basel, Switzerland), 24(8), 1136. doi:10.3390/e24081136 | apa_pure |
| dc.identifier.issn | 1099-4300 | - |
| dc.identifier.other | Final | 2 |
| dc.identifier.other | All Open Access | 3 |
| dc.identifier.other | Gold Open Access | 3 |
| dc.identifier.other | Green Open Access | 3 |
| dc.identifier.other | https://www.mdpi.com/1099-4300/24/8/1136/pdf?version=1661326687 | |
| dc.identifier.uri | https://elib.utmn.ru/jspui/handle/ru-tsu/39099 | - |
| dc.description.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. | en |
| dc.description.sponsorship | Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO | en |
| dc.description.sponsorship | This research was funded by NWO Vidi grant: “Statistical foundation for multilayer neural networks”: VI.Vidi.192.021. | en |
| dc.format.mimetype | application/pdf | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | info:eu-repo/semantics/openAccess | en |
| dc.rights | cc-by | other |
| dc.source | Entropy | en |
| dc.subject | analytic functions | en |
| dc.subject | deep neural networks | en |
| dc.subject | exponential convergence | en |
| dc.subject | path norm regularization | en |
| dc.title | Analytic function approximation by path-norm-regularized deep neural networks | en |
| dc.type | Article | en |
| dc.type | info:eu-repo/semantics/article | en |
| dc.type | info:eu-repo/semantics/publishedVersion | en |
| local.description.firstpage | 1136 | - |
| local.issue | 8 | - |
| local.volume | 24 | - |
| local.contributor.department | Institute of Environmental and Agricultural Biology (X-BIO), University of Tyumen, Volodarskogo 6, Tyumen, 625003, Russian Federation | en |
| dc.identifier.doi | 10.3390/e24081136 | - |
| dc.identifier.scopus | 85136547854 | - |
| local.contributor.employee | Beknazaryan A., Institute of Environmental and Agricultural Biology (X-BIO), University of Tyumen, Volodarskogo 6, Tyumen, 625003, Russian Federation | en |
| Appears in Collections: | Научные публикации, проиндексированные в SCOPUS и WoS | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2-s2.0-85136547854.pdf | 299,65 kB | Adobe PDF | View/Open |
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