Deep Learning models for turbulent shear flow
Deep neural networks trained with spatio-temporal evolution of a dynamical system may be regarded as an empirical alternative to conventional models using differential equations. In this thesis, such deep learning models are constructed for the problem of turbulent shear flow. However, as a first st...
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| Format: | Others |
| Language: | English |
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KTH, Numerisk analys, NA
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229416 |