Predicting vapor pressures using neural networks

Atmospheric Environment

Volumn 31, Issue 5, 1997, Pages 741-753

  Potukuchi, Sudhakar ^a   Wexler, Anthony S ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

Atmospheric aerosols; Atmospheric modeling; Back propagation algorithm; Neural networks; Thermodynamic equilibrium; Vapor pressures

Indexed keywords

AMMONIA; HYDROCHLORIC ACID; NITRIC ACID; VOLATILE ORGANIC COMPOUND;

AIR MONITORING; AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; EVAPORATION; HUMIDITY; PARTICULATE MATTER; PRESSURE; PRIORITY JOURNAL; TEMPERATURE; THERMODYNAMICS; TIME; VAPOR;

ALGORITHMS; AMMONIA; ATMOSPHERIC AEROSOLS; ATMOSPHERIC COMPOSITION; ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; BACKPROPAGATION; COMPUTER SIMULATION; HYDROCHLORIC ACID; INTERPOLATION; NEURAL NETWORKS; THERMODYNAMICS;

BACKPROPAGATION ALGORITHM; THERMODYNAMIC EQUILIBRIUM; THERMODYNAMIC MODEL;

VAPOR PRESSURE;

AMMONIA; BACK PROPAGATION; CONDENSATION; EVAPORATION; HYDROCHLORIC ACID; NEURAL NETWORK; NITRIC ACID; THERMODYNAMIC EQUILIBRIUM;

EID: 0031082076     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1352-2310(96)00203-8     Document Type: Article

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