A training strategy for hybrid models to break the curse of dimensionality
Mechanistic/data-driven hybrid modeling is a key approach when the mechanistic details of the processes at hand are not sufficiently well understood, but also inferring a model purely from data is too complex. By the integration of first principles into a data-driven approach, hybrid modeling promis...
Main Authors: | Moein E. Samadi, Sandra Kiefer, Sebastian Johaness Fritsch, Johannes Bickenbach, Andreas Schuppert |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477345/?tool=EBI |
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