Artificial Neural Network and Support Vector Regression Applied in Quantitative Structure-property Relationship Modelling of Solubility of Solid Solutes in Supercritical CO2.

Autor:	Moussaoui, M., Laidi, M., Hanini, S., Hentabli, M.
Předmět:	SUPPORT vector machines ARTIFICIAL neural networks SUPERCRITICAL carbon dioxide SOLUBILITY SOLIDS
Zdroj:	Kemija u Industriji; 2021, Vol. 70 Issue 7/8, p611-630, 20p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu