Neural network parameterizations of electromagnetic nucleon form-factors

DOI10.1007/JHEP09(2010)053zbMath1291.81371arXiv1006.0342OpenAlexW2032376276WikidataQ59253073 ScholiaQ59253073MaRDI QIDQ2251020

Piotr Płonski, Robert Sulej, Krzysztof M. Graczyk

Publication date: 10 July 2014

Published in: Journal of High Energy Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1006.0342

zbMATH Keywords

lepton-nucleon scattering 62F15

Mathematics Subject Classification ID

Nuclear physics (81V35) (2)-body potential quantum scattering theory (81U05) Weak interaction in quantum theory (81V15) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

Neural network generated parametrizations of deeply virtual Compton form factors

Cites Work

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• A determination of parton distributions with faithful uncertainty estimation
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• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• A method for the solution of certain non-linear problems in least squares

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