Artificial neural networks for modeling ammonia emissions released from sewage sludge composting

Atmospheric Environment

Volumn 57, Issue , 2012, Pages 49-54

  Boniecki, P ^a   Dach, J ^a   Pilarski, K ^a   Piekarska Boniecka, H ^a  

^a POZNA UNIVERSITY OF LIFE SCIENCES   (Poland)

Author keywords

Ammonia emission; Composting; Neural network modeling; Sewage sludge

Indexed keywords

AMMONIA EMISSIONS; CARBON-TO-NITROGEN RATIO; COMPOSTED SEWAGE SLUDGES; CORRELATION COEFFICIENT; DATA FILES; INPUT VARIABLES; KEY PARAMETERS; NEURAL MODELS; NEURAL NETWORK MODELING; PHYSICAL PARAMETERS; SLUDGE COMPOSTING; STANDARD DEVIATION; TEST FILES; TREE BARKS;

COMPOSTING; MODELS; NEURAL NETWORKS; SEWAGE SLUDGE;

DAIRIES;

AMMONIA; CARBON; NITROGEN;

AMMONIA; ARTIFICIAL NEURAL NETWORK; BIOGENIC EMISSION; COMPOSTING; EMISSION CONTROL; MODEL VALIDATION; NUMERICAL MODEL; PH; SENSITIVITY ANALYSIS; SEWAGE; SLUDGE;

AIR ANALYSIS; AIR POLLUTANT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BARK; CEREAL; CHEMICAL ANALYSIS; COMPOSTING; CORRELATION COEFFICIENT; PH; PRIORITY JOURNAL; SAWDUST; SENSITIVITY ANALYSIS; SLUDGE; STRAW; TREE; VALIDATION STUDY;

EID: 84861619822     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.04.036     Document Type: Article

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