Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01890-0
Abstract: In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we introduce our PREFERML AutoML system, which is adapted to the production environment.… read more here.
Keywords: automl; cost; algorithms error; prediction manufacturing ... See more keywords
Comparison of Algorithms for Determining the Thickness of Optical Coatings Online
Sign Up to like & getrecommendations! Published in 2019 at "Computational Mathematics and Mathematical Physics"
DOI: 10.1134/s0965542519030102
Abstract: The basic algorithms for determining the thicknesses of layers of deposited multilayer optical coatings are discussed and compared. Using a series of model numerical experiments, the advantage of one of these algorithms—the modified T-algorithm—is demonstrated;… read more here.
Keywords: optical coatings; comparison algorithms; thickness optical; determining thickness ... See more keywords