4 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | 
L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings of the 16th International Modelica&FMI Conference, Luzern, 2025, vol. 218, pp. 445–457.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate Simulation,” in Proceedings of the 16th International Modelica&FMI Conference, Lucerne, 2025, vol. 218, pp. 943–947.
HSBI-PUB
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica,” presented at the KI@HSBI 2023 Kongress, Bielefeld, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4618
A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates,” in Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, Aachen, 2023, vol. 204, pp. 275–284.
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4 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings of the 16th International Modelica&FMI Conference, Luzern, 2025, vol. 218, pp. 445–457.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate Simulation,” in Proceedings of the 16th International Modelica&FMI Conference, Lucerne, 2025, vol. 218, pp. 943–947.
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica,” presented at the KI@HSBI 2023 Kongress, Bielefeld, 2023.
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4618
A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates,” in Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, Aachen, 2023, vol. 204, pp. 275–284.
HSBI-PUB
| DOI