Abstract
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.nema
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CITATION STYLE
Amooey, A., Ahangarian, M., & Rezazadeh, F. (2014). Prediction of thermal conductivity of aqueous solution at high pressures by using artificial neural network. Chemical Industry and Chemical Engineering Quarterly, 20(4), 565–569. https://doi.org/10.2298/ciceq130729038a
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