Record link: 
http://hdl.handle.net/20.500.12708/138383
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Title: 
Recurrent neural networks as optimal mesh refinement strategies
en
Citation: 
Bohn, J., & Feischl, M. (2021). Recurrent neural networks as optimal mesh refinement strategies. Computers and Mathematics with Applications, 97, 61–76. https://doi.org/10.1016/j.camwa.2021.05.018
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Publisher DOI: 
10.1016/j.camwa.2021.05.018
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Bohn, Jan 
Feischl, Michael 
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Organisational Unit: 
E101-02 - Forschungsbereich Numerik 
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Journal: 
Computers and Mathematics with Applications 
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ISSN: 
0898-1221
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Date (published): 
2021
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Number of Pages: 
16
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Peer reviewed: 
Yes
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Keywords: 
Modeling and Simulation; Computational Mathematics; Computational Theory and Mathematics
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Research Areas: 
Mathematical and Algorithmic Foundations: 100%
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Science Branch: 
Mathematik
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