Identification of LiBr-Water Solution Thermodynamic Properties using the ANN Technique

Document Type : Research Article

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Abstract

In this study, Artificial Neural Networks (ANNs) technique is applied for the determination of thermodynamic properties of the Lithium Bromide-Water solution, which is widely used in the thermodynamic simulations. For training of the ANNs the simulation results of a thermodynamic analysis are used. The presented ANN model provides simpler and faster results comparing to complex differential equations and exsiting limited experimental data. Using the ANN technique, the thermodynamic properties of LiBr-Water solution are derived as the mathematical relations. Simulation results show the effectiveness of ANN in identification of LiBr-Water solution thermodynamic properties. 

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References

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