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Schäfer, Violetta (2022) Generalization of Physics-Informed Neural Networks for Various Boundary and Initial Conditions. Master's, Technische Universität Kaiserslautern.
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| Item URL in elib: | https://elib.dlr.de/185457/ | ||||||
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| Document Type: | Thesis (Master's) | ||||||
| Title: | Generalization of Physics-Informed Neural Networks for Various Boundary and Initial Conditions | ||||||
| Authors: |
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| Date: | 11 January 2022 | ||||||
| Refereed publication: | No | ||||||
| Open Access: | Yes | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| Number of Pages: | 83 | ||||||
| Status: | Published | ||||||
| Keywords: | Machine Learning Neuronale Netze Partielle Differentialgleichungen | ||||||
| Institution: | Technische Universität Kaiserslautern | ||||||
| Department: | Fachbereich Mathematik | ||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||
| HGF - Program: | Space | ||||||
| HGF - Program Themes: | Space System Technology | ||||||
| DLR - Research area: | Raumfahrt | ||||||
| DLR - Program: | R SY - Space System Technology | ||||||
| DLR - Research theme (Project): | R - Tasks SISTEC | ||||||
| Location: | Köln-Porz | ||||||
| Institutes and Institutions: | Institute for Software Technology > High-Performance Computing Institute for Software Technology | ||||||
| Deposited By: | Schäfer, Violetta | ||||||
| Deposited On: | 02 Mar 2022 08:40 | ||||||
| Last Modified: | 09 Mar 2022 15:28 |
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