Dynamic neural network approach for atmospheric pollutant prediction: A pulp mill case study

Reference : Dynamic neural network approach for atmospheric pollutant prediction: A pulp mill cas...


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/16308

Title :	Dynamic neural network approach for atmospheric pollutant prediction: A pulp mill case study
Language :	English
Author, co-author :	Sainlez, Matthieu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	27-May-2011
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	43èmes Journées de Statistique de la SFdS
Event date :	du 23 au 27 mai 2011
Event organizer :	SFdS
Event place (city) :	Gammarth - Tunis
Event country :	Tunisie
Permalink :	http://hdl.handle.net/10993/16308
Commentary :	Présentation orale aux Journées de la SFdS - session "Environnement-Ecologie"

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Limited access	SFdS-slides.pdf		Author postprint	1.8 MB	Request a copy

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