An MLP surrogate of CFD embedded in a particle filter estimates methane source location and emission rate in transient atmospheric flows, with accuracy close to full CFD but at far lower per-evaluation cost.
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking.IEEE Transactions on Signal Processing, 50(2):174–188, 2002
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Deep Learning Surrogates for Real-Time Gas Emission Inversion
An MLP surrogate of CFD embedded in a particle filter estimates methane source location and emission rate in transient atmospheric flows, with accuracy close to full CFD but at far lower per-evaluation cost.