1. Rohani, A.A., Pazuki, G., Najafabadi, H.A., Seyfi, S. and
Vossoughi, M., "Comparison between the artificial neural
network system and saft equation in obtaining vapor pressure and
liquid density of pure alcohols", Expert Systems with
Applications, Vol. 38, No. 3, (2011), 1738-1747. 2. Movagharnejad, K. and Saffar, F., "Predicting the coefficients of
the daubert and danner correlation using a neural network model",
Iranian Journal of Chemical Engineering, Vol. 15, No. 2,
(2018), 79.
3. Sanjari, E., "A new simple method for accurate calculation of
saturated vapor pressure", Thermochimica Acta, Vol. 560,
(2013), 12-16.
4. Maleki, N., Kashanian, S., Maleki, E. and Nazari, M., "A novel
enzyme based biosensor for catechol detection in water samples
using artificial neural network", Biochemical Engineering
Journal, Vol. 128, (2017), 1-11.
5. Akin, D. and Akba, B., "A neural network (nn) model to predict
intersection crashes based upon driver, vehicle and roadway
surface characteristics", Scientific Research and Essays, Vol. 5,
No. 19, (2010), 2837-2847.
6. Lashkarbolooki, M., Shafipour, Z.S., Hezave, A.Z. and Farmani,
H., "Use of artificial neural networks for prediction of phase
equilibria in the binary system containing carbon dioxide", The
Journal of Supercritical Fluids, Vol. 75, (2013), 144-151.
7. Moosavi, M. and Soltani, N., "Prediction of hydrocarbon densities
using an artificial neural network–group contribution method up
to high temperatures and pressures", Thermochimica Acta, Vol.
556, (2013), 89-96.
8. Moghadassi, A., Nikkholgh, M., Hosseini, S. and Parvizian, F.,
"Estimation of vapor pressures, compressed liquid, and
supercritical densities for sulfur dioxide using artificial neural
networks", International Journal of Industrial Chemistry, Vol.
4, No. 1, (2013), 14.
9. Yaws, C.L., "The yaws handbook of vapor pressure: Antoine
coefficients, Gulf Professional Publishing, (2015).
10. Yaws, C. and Yang, H., "To estimate vapor pressure easily",
Hydrocarbon Processing;(USA), Vol. 68, No. 10, (1989), 65– 68.
11. Yaws, C.L. and Narasimhan, P.K., Critical properties and acentric
factor—organic compounds, in Thermophysical properties of
chemicals and hydrocarbons. 2009, Elsevier.1-95.
12. Taki, M., Rohani, A., Soheili-Fard, F. and Abdeshahi, A.,
"Assessment of energy consumption and modeling of output
energy for wheat production by neural network (mlp and rbf) and
gaussian process regression (GPR) models", Journal of Cleaner
Production, Vol. 172, (2018), 3028-3041.
13. Azadbakht, M., Aghili, H., Ziaratban, A. and Torshizi, M.V.,
"Application of artificial neural network method to exergy and
energy analyses of fluidized bed dryer for potato cubes", Energy,
Vol. 120, (2017), 947-958.
14. Najafi-Marghmaleki, A., Khosravi-Nikou, M.R. and BaratiHarooni, A., "A new model for prediction of binary mixture of ionic
liquids+ water density using artificial neural network",
Journal of Molecular Liquids, Vol. 220, (2016), 232-237.
15. Tochigi, K., Yamagishi, M., Ando, S., Matsuda, H. and Kurihara,
K., "Prediction of antoine constants using a group contribution
method", Fluid Phase Equilibria, Vol. 297, No. 2, (2010), 200204.