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Hydrodynamic imaging using an artificial lateral line: comparing physics informed neural networks to proven methods in 2D dipole localization

Leijenaar, Remco (2021) Hydrodynamic imaging using an artificial lateral line: comparing physics informed neural networks to proven methods in 2D dipole localization. Bachelor's Thesis, Artificial Intelligence.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Netten, S.M. van and Wolf, B.J.
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 16 Aug 2021 13:59
Last Modified: 16 Aug 2021 13:59
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/25712

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