Comparison of supervised learning techniques for atmospheric pollutant monitoring in a Kraft pulp mill

DOI10.1016/J.CAM.2012.06.026zbMath1317.62085OpenAlexW1987327363MaRDI QIDQ1947584

Matthieu Sainlez, Georges Heyen

Publication date: 22 April 2013

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2012.06.026

zbMATH Keywords

supervised learningdynamic approachpollutant monitoring

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Meteorology and atmospheric physics (86A10) Neural nets and related approaches to inference from stochastic processes (62M45)

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