Approximation of BV functions by neural networks: A regularity theory approach.

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Title: Approximation of BV functions by neural networks: A regularity theory approach.
Authors: Avelin, Benny1 (AUTHOR) benny.avelin@math.uu.se, Julin, Vesa2 (AUTHOR) vesa.julin@jyu.fi
Source: Analysis & Applications. Oct2025, Vol. 23 Issue 7, p1129-1179. 51p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="AR" term="%22Avelin%2C+Benny%22">Avelin, Benny</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> benny.avelin@math.uu.se</i><br /><searchLink fieldCode="AR" term="%22Julin%2C+Vesa%22">Julin, Vesa</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> vesa.julin@jyu.fi</i>
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  Data: <searchLink fieldCode="JN" term="%22Analysis+%26+Applications%22">Analysis & Applications</searchLink>. Oct2025, Vol. 23 Issue 7, p1129-1179. 51p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=187438086
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        Value: 10.1142/S0219530525500046
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      – Code: eng
        Text: English
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        PageCount: 51
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      – TitleFull: Approximation of BV functions by neural networks: A regularity theory approach.
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              Text: Oct2025
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              Y: 2025
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