The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge

Heese, Raoul, Walczak, Michał, Morand, Lukas, Helm, Dirk, Bortz, Michael

arXiv.org Machine Learning 

We address a non-unique parameter fitting problem in the context of material science. In particular, we propose to resolve ambiguities in parameter space by augmenting a black-box artificial neural network (ANN) model with two different levels of expert knowledge and benchmark them against a pure black-box model.

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