Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks


Göttlich, Simone ; Totzeck, Claudia


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DOI: https://doi.org/10.1007/s00498-021-00309-8
URL: https://madoc.bib.uni-mannheim.de/61710
Additional URL: https://link.springer.com/article/10.1007/s00498-0...
URN: urn:nbn:de:bsz:180-madoc-617103
Document Type: Article
Year of publication: 2022
The title of a journal, publication series: Mathematics of Control, Signals, and Systems : MCSS
Volume: 34
Issue number: 1
Page range: 185-214
Place of publication: London
Publishing house: Springer
ISSN: 0932-4194 , 1435-568X
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Scientific Computing (Göttlich 2011-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 510 Mathematics
Additional information: Online-Ressource




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