A function fitting method
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Publication:2187755
DOI10.1515/jaa-2020-2004zbMath1450.65012arXiv1811.01336OpenAlexW3033508422MaRDI QIDQ2187755
Publication date: 3 June 2020
Published in: Journal of Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.01336
Learning and adaptive systems in artificial intelligence (68T05) Algorithms for approximation of functions (65D15) Numerical solution to inverse problems in abstract spaces (65J22)
Cites Work
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- Fitting a Sobolev function to data. I
- Fitting a Sobolev function to data. III
- Fitting a \(C^m\)-smooth function to data. II
- Estimating a density and its derivatives via the minimum distance method
- Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
- Fitting a \(C^m\)-smooth function to data. I.
- Fitting a \(C^m\)-smooth function to data. III.
- Approximation by superpositions of a sigmoidal function
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