Dynamic Industrial Optimization: A Framework Integrates Online Machine Learning for Processing Parameters Design
Sign Up to like & getrecommendations! Published in 2024 at "Future Internet"
DOI: 10.3390/fi16030094
Abstract: We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization techniques. Initially, concept drift… read more here.
Keywords: integrates online; framework; machine learning; online machine ... See more keywords