화학공학소재연구정보센터
검색결과 : 18건
No. Article
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