Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"data-driven neural networks"”.
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Application of data-driven neural networks to bio-inspired lattice design and prediction of multiphysics solution fields
… decisions. This study develops conventional deep neural networks and deep operator-learning surrogates that predict full temperature and stress fields from process and geometry inputs, accelerating evaluation by orders of magnitude relative to finite element analysis (FEA). Bio-inspired, …
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Neural-embedded discrete choice models
… theory-based discrete choice models (DCM) and data-driven neural networks. How to benefit from the strengths of both is the overarching question. I propose hybrid structures and strategies to flexibly represent taste heterogeneity, reduce potential biases, and improve predictability while …
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Full-waveform inversion of time-lapse seismic data using physics-based and data-driven techniques
… amplitude and phase information in seismic data. However, most existing 4D FWI research is limited to isotropic and, often, acoustic media, which hinders its application to realistic subsurface models. In this thesis, I develop an efficient 4D FWI algorithm for elastic transversely isotropic …