Prediction of solid vapor pressures for organic and inorganic compounds using a neural network

Thermochimica Acta

Volumn 489, Issue 1-2, 2009, Pages 53-62

  Lazzús, Juan A ^a  

^a DEPARTAMENTO DE BIOLOGÍA   (Chile)

Author keywords

Artificial neural networks; Property estimation; Solid vapor pressure; Thermodynamic properties

Indexed keywords

BACKPROPAGATION; ESTIMATION; HYDROSTATIC PRESSURE; INORGANIC COMPOUNDS; SUBLIMATION; THERMODYNAMICS; VAPOR PRESSURE; VAPORS;

ARTIFICIAL NEURAL NETWORKS; DATA POINTS; EXPERIMENTAL DATUM; LIMITING VALUES; LOWER LIMITS; PHYSICO-CHEMICAL PROPERTIES; PROPERTY ESTIMATION; SOLID VAPOR PRESSURE; TRIPLE POINTS; UPPER LIMITS;

NEURAL NETWORKS;

EID: 63349089045     PISSN: 00406031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tca.2009.02.001     Document Type: Article

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