Design of experiments and machine learning with application to industrial experiments

Roberto Fontana (), Alberto Molena (), Luca Pegoraro () and Luigi Salmaso ()
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Roberto Fontana: Politecnico di Torino
Alberto Molena: University of Padova
Luca Pegoraro: University of Padova
Luigi Salmaso: University of Padova

Statistical Papers, 2023, vol. 64, issue 4, No 13, 1274 pages

Abstract: Abstract In the context of product innovation, there is an emerging trend to use Machine Learning (ML) models with the support of Design Of Experiments (DOE). The paper aims firstly to review the most suitable designs and ML models to use jointly in an Active Learning (AL) approach; it then reviews ALPERC, a novel AL approach, and proves the validity of this method through a case study on amorphous metallic alloys, where this algorithm is used in combination with a Random Forest model.

Keywords: Design of Experiments; Machine learning; Active learning; Industrial statistics (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s00362-023-01437-w

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