Corpus ID: 227151170

Generalization techniques of neural networks for fluid flow estimation

@article{Morimoto2020GeneralizationTO,
  title={Generalization techniques of neural networks for fluid flow estimation},
  author={Masaki Morimoto and Kai Fukami and Kai Zhang and K. Fukagata},
  journal={arXiv: Fluid Dynamics},
  year={2020}
}
We demonstrate several techniques to encourage practical uses of neural networks for fluid flow estimation. In the present paper, three perspectives which are remaining challenges for applications of machine learning to fluid dynamics are considered: 1. interpretability of machine-learned results, 2. bulking out of training data, and 3. generalizability of neural networks. For the interpretability, we first demonstrate two methods to observe the internal procedure of neural networks, i.e… Expand

References

SHOWING 1-10 OF 77 REFERENCES
Prediction of turbulent heat transfer using convolutional neural networks
Construction of reduced-order models for fluid flows using deep feedforward neural networks
Machine Learning for Fluid Mechanics
Deep learning in fluid dynamics
  • J. Kutz
  • Computer Science
  • Journal of Fluid Mechanics
  • 2017
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
A review on Deep Reinforcement Learning for Fluid Mechanics
Special issue on machine learning and data-driven methods in fluid dynamics
...
1
2
3
4
5
...