The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
arXiv:1907.11105v28 citations
Originality Synthesis-oriented
AI Analysis
This addresses parameter fitting issues for material scientists, but appears incremental as it builds on existing black-box models.
The paper tackled the non-unique parameter fitting problem in material science by augmenting a black-box neural network with expert knowledge to resolve ambiguities, benchmarking it against a pure black-box model.
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.