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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Outras publicacións en: Revista Iberoamericana de Polímeros

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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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