# Assessment of supervised machine learning methods for fluid flows

@article{Fukami2020AssessmentOS, title={Assessment of supervised machine learning methods for fluid flows}, author={Kai Fukami and Koji Fukagata and Kunihiko Taira}, journal={Theoretical and Computational Fluid Dynamics}, year={2020}, pages={1-23} }

We apply supervised machine learning techniques to a number of regression problems in fluid dynamics. Four machine learning architectures are examined in terms of their characteristics, accuracy, computational cost, and robustness for canonical flow problems. We consider the estimation of force coefficients and wakes from a limited number of sensors on the surface for flows over a cylinder and NACA0012 airfoil with a Gurney flap. The influence of the temporal density of the training data is… CONTINUE READING

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