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Dokumenttyp:
Masterarbeit
Autor(en):
Rodrigo Sanchez Cela
Titel:
Full Waveform Inversion with Neural Network Based Ansatzfunctions
Abstract:
Computer imaging techniques are crucial in fields like medicine and engineering, where CT scans help diagnose patients, and non-destructive testing (NDT) ensures the safety of structures such as airplane wings. In this thesis, we study the full waveform inversion (FWI) problem from a deep learning point of view. FWI, initially developed in seismology and applied recently in NDT, is explored using various neural network architectures, namely convolutional and feed-forward neu- ral networks....     »
Aufgabensteller:
Prof. Dr. Felix Dietrich
Betreuer:
Qing Sun
Jahr:
2024
Quartal:
3. Quartal
Jahr / Monat:
2024-09
Monat:
Sep
Sprache:
en
Hochschule / Universität:
Technical University of Munich
Fakultät:
TUM School of Computation, Information and Technology
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