Design and optimization of artificial neural networks for the modelling of superconducting magnets operation in tokamak fusion reactors

DOI10.1016/J.JCP.2016.05.028zbMath1349.82143OpenAlexW2398703267MaRDI QIDQ726950

R. Zanino, L. Savoldi, A. Froio, A. Quartararo, R. Bonifetto, S. Carli

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: http://porto.polito.it/2642481/

zbMATH Keywords

modelingartificial neural networkstokamaknuclear fusionITERsuperconducting magnets

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Statistical mechanics of superconductors (82D55) Statistical mechanics of plasmas (82D10) Electromagnetic theory (general) (78A25)

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Cites Work

• Approximation by superpositions of a sigmoidal function
• Unnamed Item

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