| 1 |
Application of radial basis function neural networks in bubble point oil formation volume factor prediction for petroleum systems
Fath AH
Fluid Phase Equilibria, 437, 14, 2017 |
| 2 |
Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption of brilliant green on ZnS-NP-AC
Azqhandi MHA, Ghaedi M, Yousefi F, Jamshidi M
Journal of Colloid and Interface Science, 505, 278, 2017 |
| 3 |
Ultrasound-assisted binary adsorption of dyes onto Mn@ CuS/ZnS-NC-AC as a novel adsorbent: Application of chemometrics for optimization and modeling
Asfaram A, Ghaedi M, Azqhandi MHA, Goudarzi A, Hajati S
Journal of Industrial and Engineering Chemistry, 54, 377, 2017 |
| 4 |
A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module
Bonanno F, Capizzi G, Graditi G, Napoli C, Tina GM
Applied Energy, 97, 956, 2012 |
| 5 |
An Analysis of Wind Speed Prediction Using Artificial Neural Networks: A Case Study in Manjil, Iran
Assareh E, Behrang MA, Ghalambaz M, Noghrehabadi AR, Ghanbarzadeh A
Energy Sources Part A-recovery Utilization and Environmental Effects, 34(5-8), 636, 2012 |
| 6 |
Price forecasting of day-ahead electricity markets using a hybrid forecast method
Shafie-khah M, Moghaddam MP, Sheikh-El-Eslami MK
Energy Conversion and Management, 52(5), 2165, 2011 |
| 7 |
Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models
Aggelogiannaki E, Sarimveis H
Computers & Chemical Engineering, 32(6), 1225, 2008 |
