Solving fluid flow problems using semi-supervised symbolic regression on sparse data
The twenty first century is the century of data. Machine learning data and driven methods start to lead the way in many fields. In this contribution, we will show how symbolic regression machine learning methods, based on genetic programming, can be used to solve fluid flow problems. In particular,...
Main Authors: | Yousef M. F. El Hasadi, Johan T. Padding |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2019-11-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/1.5116183 |
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