Neural Network Surrogates and Symbolic Regression for System Estimation

Martensen, Carl Julius; Rackauckas, Christopher

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Neural Network Surrogates and Symbolic Regression for System Estimation

Martensen, C. J., & Rackauckas, C. (2021). Neural Network Surrogates and Symbolic Regression for System Estimation. Talk presented at SIAM Conference on Applications of Dynamical Systems (DS21). Virtual. 2021-05-23 - 2021-05-27.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0008-AD82-2 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0008-AD83-1

Genre: Vortrag

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Urheber:
Martensen, Carl Julius^{1, 2}, Autor
Rackauckas, Christopher³, Autor

Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
3Massachusetts Institute of Technology, U.S., ou_persistent22