| 1 |
Simulation of non‑dilute fbre suspensions using RBF‑based macro–micro multiscale method
Nguyen HQ, Tran CD
Korea-Australia Rheology Journal, 34(1), 1, 2022 |
| 2 |
Combining design of experiments, machine learning, and principal component analysis for predicting energy consumption and product quality of a natural gas processing plant
Khoshnevisan L, Hourfar F, Alhameli F, Elkamel A
International Journal of Energy Research, 45(4), 5974, 2021 |
| 3 |
Wind turbine power curve modeling using radial basis function neural networks and tabu search
Karamichailidou D, Kaloutsa V, Alexandridis A
Renewable Energy, 163, 2137, 2021 |
| 4 |
RBFNN-Based Minimum Entropy Filtering for a Class of Stochastic Nonlinear Systems
Yin X, Zhang QC, Wang H, Ding ZT
IEEE Transactions on Automatic Control, 65(1), 376, 2020 |
| 5 |
Prediction and sensitivity analysis of CNTs-modified asphalt's adhesion force using a radial basis neural network model
Arifuzzaman M, Gazder U, Islam MS, Al Mamun A
Journal of Adhesion Science and Technology, 34(10), 1100, 2020 |
| 6 |
Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes
Liu T, Chen S, Liang S, Du DJ, Harris CJ
Journal of Process Control, 93, 53, 2020 |
| 7 |
Prediction of process parameters of water-assisted injection molding based on inverse radial basis function neural network
Yang JG, Yu SR
Polymer Engineering and Science, 60(12), 3159, 2020 |
| 8 |
Estimating biofuel density via a soft computing approach based on intermolecular interactions
Nabipour N, Daneshfar R, Rezvanjou O, Mohammadi-Khanaposhtani M, Baghban A, Xiong QG, Li LKB, Habibzadeh S, Doranehgard MH
Renewable Energy, 152, 1086, 2020 |
| 9 |
Numerical modelling and multi-objective optimization of the novel hydrocyclone for ultra-fine particles classification
Ye JX, Xu YX, Song XF, Yu JG
Chemical Engineering Science, 207, 1072, 2019 |
| 10 |
Modified inferential POD/ML for data-driven inverse procedure of steam reformer for 5-kW HT-PEMFC
Koo B, Jo T, Lee D
Computers & Chemical Engineering, 121, 375, 2019 |
