| 1 |
Artificial neural network (ANN) modeling of thermal conductivity of supercritical ethane
Yang L, Wang ZB
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(4), 396, 2019 |
| 2 |
A theoretical and experimental study of glycerol steam reforming over Rh/MgAl2O4 catalysts
Senseni AZ, Meshkani F, Fattahi SMS, Rezaei M
Energy Conversion and Management, 154, 127, 2017 |
| 3 |
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes
He YL, Zhu QX
Chemical Engineering Science, 153, 117, 2016 |
| 4 |
Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling
Vani S, Sukumaran RK, Savithri S
Bioresource Technology, 188, 128, 2015 |
| 5 |
Investigation and modeling of the tractive performance of radial tires using off-road vehicles
Ekinci S, Carman K, Kahramanli H
Energy, 93, 1953, 2015 |
| 6 |
Artificial neural network models for advanced oxidation of organics in water matrix-Comparison of applied methodologies
Bolanca T, Ukic S, Peternel I, Kusic H, Bozic AL
Indian Journal of Chemical Technology, 21(1), 21, 2014 |
| 7 |
Trainable cascade-forward back-propagation network modeling of spearmint oil extraction in a packed bed using SC-CO2
Lashkarbolooki M, Shafipour ZS, Hezave AZ
Journal of Supercritical Fluids, 73, 108, 2013 |
| 8 |
Developing a feed forward neural network multilayer model for prediction of binary diffusion coefficient in liquids
Beigzadeh R, Rahimi M, Shabanian SR
Fluid Phase Equilibria, 331, 48, 2012 |
| 9 |
Optimization of supercritical carbon dioxide extraction of Passiflora seed oil
Zahedi G, Azarpour A
Journal of Supercritical Fluids, 58(1), 40, 2011 |
| 10 |
Separation of heavy gases from light gases using synthesized PDMS nano-composite membranes: Experimental and neural network modeling
Farno E, Ghadimi A, Kasiri N, Mohammadi T
Separation and Purification Technology, 81(3), 400, 2011 |
