A Simple Neural Network for Estimating Emission Rates of Hydrogen Sulfide and Ammonia from Single Point Sources

Journal of the Air and Waste Management Association

Volumn 46, Issue 10, 1996, Pages 953-962

  Rege, Mahesh A ^a   W Tock, Richard ^a  

^a TEXAS TECH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; AMMONIA; ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; ATMOSPHERIC THERMODYNAMICS; BACKPROPAGATION; COMPUTATIONAL COMPLEXITY; ENVIRONMENTAL IMPACT; HYDROGEN SULFIDE; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

ATMOSPHERIC DISPERSION; ATMOSPHERIC STABILITY; CROSSWIND DISTANCE; DOWNWIND CONCENTRATION; DOWNWIND DISTANCE; HAZARDOUS GAS EMISSION RATE ESTIMATION;

GAS EMISSIONS;

AMMONIA; HYDROGEN SULFIDE;

AIR POLLUTION; ALGORITHM; ARTICLE; ATMOSPHERIC DISPERSION; ENVIRONMENTAL TEMPERATURE; HEALTH HAZARD; HUMIDITY; NERVE CELL NETWORK; PRIORITY JOURNAL;

EID: 0030272524     PISSN: 10473289     EISSN: None     Source Type: Journal    
DOI: 10.1080/10473289.1996.10467530     Document Type: Article

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