1 |
Novel performance prediction model of a biofilm system treating domestic wastewater based on stacked denoising auto-encoders deep learning network Shi S, Xu GR Chemical Engineering Journal, 347, 280, 2018 |
2 |
Neural network modelling of high pressure CO2 corrosion in pipeline steels Abbas MH, Norman R, Charles A Process Safety and Environmental Protection, 119, 36, 2018 |
3 |
Modeling and simulation of xylitol production in bioreactor by Debaryomyces nepalensis NCYC 3413 using unstructured and artificial neural network models Pappu JSM, Gummadi SN Bioresource Technology, 220, 490, 2016 |
4 |
The pyrolysis process verification of hydrogen rich gas (H-rG) production by artificial neural network (ANN) Karaci A, Caglar A, Aydinli B, Pekol S International Journal of Hydrogen Energy, 41(8), 4570, 2016 |
5 |
Predicting Oil Flow Rate due to Multiphase Flow Meter by Using an Artificial Neural Network Hasanvand M, Berneti SM Energy Sources Part A-recovery Utilization and Environmental Effects, 37(8), 840, 2015 |
6 |
Experimental investigation and prediction of bonding strength of Oriental beech (Fagus orientalis Lipsky) bonded with polyvinyl acetate adhesive Tiryaki S, Bardak S, Bardak T Journal of Adhesion Science and Technology, 29(23), 2521, 2015 |
7 |
Prediction interval-based neural network modelling of polystyrene polymerization reactor - A new perspective of data-based modelling Hosen MA, Khosravi A, Nahavandi S, Creighton D Chemical Engineering Research & Design, 92(11), 2041, 2014 |
8 |
Optimal disturbance rejection control approach based on a compound neural network prediction method Li J, Wu C, Li SH, Yang J, Li SQ Journal of Process Control, 24(10), 1516, 2014 |
9 |
Experimental study of natural gas hydrates and a novel use of neural network to predict hydrate formation conditions Ghavipour M, Ghavipour M, Chitsazan M, Najibi SH, Ghidary SS Chemical Engineering Research & Design, 91(2), 264, 2013 |
10 |
Predicting Coal Heating Values Using Proximate Analysis via a Neural Network Approach Akkaya AV Energy Sources Part A-recovery Utilization and Environmental Effects, 35(3), 253, 2013 |