Comparison of Supervised Learning Techniques for Atmospheric Pollutant Monitoring in a Kraft Pulp Mill

Reference : Comparison of Supervised Learning Techniques for Atmospheric Pollutant Monitoring in ...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/16297

Title :	Comparison of Supervised Learning Techniques for Atmospheric Pollutant Monitoring in a Kraft Pulp Mill
Language :	English
Author, co-author :	Sainlez, Matthieu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Heyen, Georges [> >]
Publication date :	2013
Journal title :	Journal of Computational and Applied Mathematics
Publisher :	Elsevier Science Publishers B. V.
Volume :	246
Pages :	329--334
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	0377-0427
e-ISSN :	1879-1778
City :	Amsterdam, The Netherlands, The Netherlands
Keywords :	[en] Dynamic approach ; Pollutant monitoring ; Supervised learning
Permalink :	http://hdl.handle.net/10993/16297
DOI :	10.1016/j.cam.2012.06.026
Other URL :	http://dx.doi.org/10.1016/j.cam.2012.06.026

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