Modeling of the polluting emissions from a cement production plant by partial least-squares, principal component regression, and artificial neural networks

Environmental Science and Technology

Volumn 40, Issue 1, 2006, Pages 272-280

  Marengo, Emilio ^a   Bobba, Marco ^a   Robotti, Elisa ^a   Liparota, Maria Cristina ^a  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

POLLUTING EMISSIONS; PRODUCTION SET; SELF-ASSOCIATIVE MAPS; TEST SET;

CEMENT PLANTS;

CEMENT; NITROGEN OXIDE; SULFUR OXIDE;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CEMENT; INDUSTRIAL EMISSION; PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CEMENT INDUSTRY; COMPUTER PREDICTION; DUST; ENVIRONMENTAL FACTOR; MATHEMATICAL COMPUTING; POLLUTION MONITORING; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

AIR POLLUTION; COMPUTER SIMULATION; CONSTRUCTION MATERIALS; DUST; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; INDUSTRY; LEAST-SQUARES ANALYSIS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; SULFUR DIOXIDE;

EID: 30344468127     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es0517466     Document Type: Article

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