IIR document
Application of Artificial Neural Network (ANN) for modelling H2O/KCOOH (potassium formate) dynamic viscosity.
Author(s) : LONGO G. A., ORTOMBINA L., ZIGLIOTTO M.
Type of article: Article, IJR article
Summary
This study presents an Artificial Neural Network (ANN) model for predicting the dynamic viscosity of H2O/KCOOH (potassium formate) solution. The model accounts for the effect of temperature and concentration in salt and it covers the concentrations typical for brine (0–50%) and desiccant (60–80%) applications, including also pure water. The model shows a fair agreement in predicting experimental data: the mean absolute percentage error (MAPE) is 0.92%. The characteristic parameters of the ANN model are fully reported in the paper.
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Details
- Original title: Application of Artificial Neural Network (ANN) for modelling H2O/KCOOH (potassium formate) dynamic viscosity.
- Record ID : 30023169
- Languages: English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 86
- Publication date: 2018/02
- DOI: http://dx.doi.org/10.1016/j.ijrefrig.2017.11.033
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