{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:14:08Z","timestamp":1760145248087,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>In the present article, we extend the results of the neural network interpolation operators activated by smooth ramp functions proposed by Yu (Acta Math. Sin.(Chin. Ed.) 59:623-638, 2016). We give different results from Yu (Acta Math. Sin.(Chin. Ed.) 59:623-638, 2016) we discuss the high-order approximation result using the smoothness of \u03c6 and a related Voronovskaya-type asymptotic expansion for the error of approximation. In addition, we showcase the related fractional estimates result and the fractional Voronovskaya type asymptotic expansion. We investigate the approximation degree for the iterated and complex extensions of the aforementioned operators. Finally, we provide numerical examples and graphs to effectively illustrate and validate our results.<\/jats:p>","DOI":"10.3390\/computation12070136","type":"journal-article","created":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T03:48:56Z","timestamp":1720151336000},"page":"136","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interpolation for Neural Network Operators Activated by Smooth Ramp Functions"],"prefix":"10.3390","volume":"12","author":[{"given":"Fesal","family":"Baxhaku","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Prizren, 20000 Prizren, Kosovo"}]},{"given":"Artan","family":"Berisha","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Prishtina \u201cHasan Prishtina\u201d, 10000 Prishtina, Kosovo"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8990-1440","authenticated-orcid":false,"given":"Behar","family":"Baxhaku","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Prishtina \u201cHasan Prishtina\u201d, 10000 Prishtina, Kosovo"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1080\/01630563.2013.767833","article-title":"Approximation by nonlinear multivariate sampling-Kantorovich type operators and applications to image processing","volume":"34","author":"Costarelli","year":"2013","journal-title":"Numer. 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