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An Artificial Neural Network model is proposed for the calculation and prediction of the surface tension of refrigerants along the liquid-vapor interphase. A total amount of 2879 data for 76 refrigerants were used for training and testing the network model. After considering different architectures, that one including three layers with 10 neurons in the inner layer, 10 neurons in the hidden layer,...
An Artificial Neural Network model is proposed for the calculation and prediction of the surface tension of alcohols. A total amount of 4316 data for 147 alcohols was used for training, validating and testing the network model. After considering different architectures, the one giving better results includes an input layer that uses four independent variables (temperature, critical point temperature,...
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