Predicción de la temperatura superior de disolución crítica mediante redes neuronales artificiales

1. Gonzalo Astray ¹
2. Jorge Morales ¹
3. Juan Carlos Mejuto ¹
4. Aida Vázquez Gil ¹

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Altres publicacions en: Revista Iberoamericana de Polímeros

Resum

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%.

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