| Recurrent neuro-fuzzy networks for nonlinear process modeling J Zhang, AJ Morris IEEE Transactions on Neural Networks 10 (2), 313-326, 1999 | 346 | 1999 |
| Monitoring of processes with multiple operating modes through multiple principle component analysis models SJ Zhao, J Zhang, YM Xu Industrial & engineering chemistry research 43 (22), 7025-7035, 2004 | 283 | 2004 |
| Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM) WC Leong, A Bahadori, J Zhang, Z Ahmad International Journal of River Basin Management 19 (2), 149-156, 2021 | 253 | 2021 |
| Artificial Intelligence techniques applied as estimator in chemical process systems–A literature survey JM Ali, MA Hussain, MO Tade, J Zhang Expert Systems with Applications 42 (14), 5915-5931, 2015 | 213 | 2015 |
| Performance monitoring of processes with multiple operating modes through multiple PLS models SJ Zhao, J Zhang, YM Xu Journal of process Control 16 (7), 763-772, 2006 | 207 | 2006 |
| A batch-to-batch iterative optimal control strategy based on recurrent neural network models Z Xiong, J Zhang Journal of Process Control 15 (1), 11-21, 2005 | 205 | 2005 |
| Process performance monitoring using multivariate statistical process control EB Martin, AJ Morris, J Zhang IEE Proceedings-Control Theory and Applications 143 (2), 132-144, 1996 | 195 | 1996 |
| Developing robust non-linear models through bootstrap aggregated neural networks J Zhang Neurocomputing 25 (1-3), 93-113, 1999 | 191 | 1999 |
| Inferential estimation of polymer quality using stacked neural networks J Zhang, EB Martin, AJ Morris, C Kiparissides Computers & Chemical Engineering 21, S1025-S1030, 1997 | 179 | 1997 |
| Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model Y Tian, J Zhang, J Morris Industrial & engineering chemistry research 40 (21), 4525-4535, 2001 | 172 | 2001 |
| Improved on-line process fault diagnosis through information fusion in multiple neural networks J Zhang Computers & chemical engineering 30 (3), 558-571, 2006 | 163 | 2006 |
| A sequential learning approach for single hidden layer neural networks J Zhang, AJ Morris Neural networks 11 (1), 65-80, 1998 | 158 | 1998 |
| Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models J Zhang Chemical Engineering Science 63 (5), 1273-1281, 2008 | 146 | 2008 |
| Product quality trajectory tracking in batch processes using iterative learning control based on time-varying perturbation models Z Xiong, J Zhang Industrial & Engineering Chemistry Research 42 (26), 6802-6814, 2003 | 146 | 2003 |
| Fuzzy neural networks for nonlinear systems modelling J Zhang, AJ Morris IEE Proceedings-Control theory and applications 142 (6), 551-561, 1995 | 146 | 1995 |
| Prediction of polymer quality in batch polymerisation reactors using robust neural networks J Zhang, AJ Morris, EB Martin, C Kiparissides Chemical Engineering Journal 69 (2), 135-143, 1998 | 137 | 1998 |
| Jujube stones based highly efficient activated carbon for methylene blue adsorption: kinetics and isotherms modeling, thermodynamics and mechanism study, optimization via … N Bouchelkia, H Tahraoui, A Amrane, H Belkacemi, JC Bollinger, ... Process Safety and Environmental Protection 170, 513-535, 2023 | 114 | 2023 |
| On-line multivariate statistical monitoring of batch processes using Gaussian mixture model T Chen, J Zhang Computers & chemical engineering 34 (4), 500-507, 2010 | 111 | 2010 |
| Process modelling and fault diagnosis using fuzzy neural networks J Zhang, J Morris Fuzzy Sets and Systems 79 (1), 127-140, 1996 | 108 | 1996 |
| Process monitoring using non-linear statistical techniques J Zhang, EB Martin, AJ Morris Chemical engineering journal 67 (3), 181-189, 1997 | 107 | 1997 |
Julian MorrisNewcastle UniversityVerified email at ncl.ac.uk
