Predicción de la temperatura superior de disolución crítica mediante redes neuronales artificiales
- Gonzalo Astray 1
- Jorge Morales 1
- Juan Carlos Mejuto 1
- Aida Vázquez Gil 1
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1
Universidade de Vigo
info
ISSN: 0121-6651, 1988-4206
Datum der Publikation: 2012
Ausgabe: 13
Nummer: 6
Seiten: 295-306
Art: Artikel
Andere Publikationen in: Revista Iberoamericana de Polímeros
Zusammenfassung
The polymer solutions are widely used in rheology and in the stabilization of commercial systems. These solutions are strongly conditioned by the system temperature and they could form a single phase or a homogeneous liquid phase mixture. To determine the upper critical solution temperature (UCST) value it has been developed a model based on Neural Networks that is able to reliably predict this temperature, making an average error in its calculation of 4.47%.