Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling
Author:
Affiliation:
1. MOX—Mathematics Department Politecnico di Milano Milano Italy
2. M3DISIM Institut National de Recherche en Informatique et en Automatique Palaiseau France
3. LMS Ecole Polytechnique, CNRS, Institut Polytechnique de Paris Palaiseau France
Publisher
Wiley
Subject
Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3471
Reference55 articles.
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3. Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error
4. RamsayJ HookerG CampbellD CaoJ.Parameter estimation for differential equations: a generalized smoothing approach series B statistical methodology;2007.
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