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

A method to estimate solid vapor pressures ( P S ) for organic and inorganic compounds using an artificial neural network (ANN) is presented. The proposal consists of training an ANN with P S data of a defined group of substances as a function of temperature, including as learning variable five phys...

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Veröffentlicht in:	Thermochimica acta 2009-05, Vol.489 (1), p.53-62
1. Verfasser:	LAZZUS, Juan A
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Chemical thermodynamics Chemistry Exact sciences and technology General and physical chemistry General. Theory Property estimation Solid vapor pressure Thermodynamic properties
Online-Zugang:	Volltext
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