Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions

Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions

Within the fields of materials mechanics, the consideration of physical laws in machine learning predictions besides the use of data can enable low prediction errors and robustness as opposed to predictions only based on data. On the one hand, exclusive utilization of fundamental physical relationsh...

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Bibliographic Details
Main Authors: Frederic E. Bock, Sören Keller, Norbert Huber, Benjamin Klusemann
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Materials
Subjects:
machine learning
analytical model
finite element model
artificial neural networks
model correction
feature engineering
Online Access:https://www.mdpi.com/1996-1944/14/8/1883

Internet

https://www.mdpi.com/1996-1944/14/8/1883

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