Chemical Industry and Chemical Engineering Quarterly (Jan 2014)

Prediction of thermal conductivity of aqueous solution at high pressures by using artificial neural network

  • Amooey Ali Akbar,
  • Ahangarian Maryam,
  • Rezazadeh Farshad

DOI
https://doi.org/10.2298/ciceq130729038a
Journal volume & issue
Vol. 20, no. 4
pp. 565 – 569

Abstract

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The objective of this study is to predict thermal conductivity of aqueous solution with artificial neural network (ANN) model with three inputs (pressure, temperature and concentration). A feed forward artificial neural network with three neurons in its hidden layer is recommended to predict thermal conductivity and the accuracy of this method evaluated by regression analysis between the predicted and experimental value and it shows desired result.

Keywords