Development and comparison of backpropagation and generalized regression neural network models to predict diurnal and seasonal gas and PM 10 concentrations and emissions from swine buildings

Transactions of the ASABE

Volumn 51, Issue 2, 2008, Pages 685-694

  Sun, Gang ^a   Hoff, Steven J ^a   Zelle, Brian C ^a   Nelson, Minda A ^a  

^a Iowa State University of Science and Technology   (United States)

Author keywords

Backpropogation; Diurnal; Gas; Generalized regression neural network; PM 10; Seasonal; Swine buildings

Indexed keywords

GENERALIZED REGRESSION NEURAL NETWORK; SWINE BUILDINGS;

BACKPROPAGATION; MATHEMATICAL MODELS; PARTICLES (PARTICULATE MATTER); REGRESSION ANALYSIS;

NEURAL NETWORKS;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; EMISSION; GAS; LIVESTOCK FARMING; PARTICULATE MATTER; SEASONAL VARIATION;

ANIMALIA; SUIDAE;

EID: 44449122355     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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