1 |
Modelling asphaltene precipitation titration data: A committee of machines and a group method of data handling Hemmati-Sarapardeh A, Dabir B, Ahmadi M, Mohammadi AH, Husein MM Canadian Journal of Chemical Engineering, 97(2), 431, 2019 |
2 |
A novel comprehensive experimental study concerned synthesizes and prepare liquid paraffin-Fe3O4 mixture to develop models for both thermal conductivity & viscosity: A new approach of GMDH type of neural network Shahsavar A, Khanmohammadi S, Karimipour A, Goodarzi M International Journal of Heat and Mass Transfer, 131, 432, 2019 |
3 |
Predicting the stress-strain behaviour of zeolite-cemented sand based on the unconfined compression test using GMDH type neural network MolaAbasi H, Saberian M, Kordnaeij A, Omer J, Li J, Kharazmi P Journal of Adhesion Science and Technology, 33(9), 945, 2019 |
4 |
Smart models to predict the minimum spouting Cheek for velocity of conical spouted beds with non-porous draft tube Hosseini SH, Rezaei MJ, Bag-Mohammadi M, Altzibar H, Olazar M Chemical Engineering Research & Design, 138, 331, 2018 |
5 |
A hybrid model based on selective ensemble for energy consumption forecasting in China Xiao J, Li YX, Xie L, Liu DH, Huang J Energy, 159, 534, 2018 |
6 |
Toward generalized models for estimating molecular weights and acentric factors of pure chemical compounds Hemmati-Sarapardeh A, Ameli F, Varamesh A, Shamshirband S, Mohammadi AH, Dabir B International Journal of Hydrogen Energy, 43(5), 2699, 2018 |
7 |
Adaptive virtual metrology for semiconductor chemical mechanical planarization process using GMDH-type polynomial neural networks Jia XD, Di Y, Feng JS, Yang QB, Dai HH, Lee J Journal of Process Control, 62, 44, 2018 |
8 |
Modeling of the pervaporation process for isobutanol purification from aqueous solution using intelligent systems Farhadi M, Pazuki G, Raisi A Separation Science and Technology, 53(9), 1383, 2018 |
9 |
Partition coefficient prediction of Baker's yeast invertase in aqueous two phase systems using hybrid group method data handling neural network Padilha CED, de Oliveira SD, Souza DFD, de Oliveira JA, de Macedo GR, dos Santos ES Chinese Journal of Chemical Engineering, 25(5), 652, 2017 |
10 |
Modeling and optimization of dew-point evaporative coolers based on a developed GMDH-type neural network Jafarian H, Sayyaadi H, Torabi F Energy Conversion and Management, 143, 49, 2017 |