Jie Zhang
Orcid: 0000-0002-9745-664XAffiliations:
- University of Newcastle, UK
According to our database1,
Jie Zhang
authored at least 102 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on ncl.ac.uk
On csauthors.net:
Bibliography
2024
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
The Effect of the Stationary Phase on Resolution in the HPLC-Based Separation of Racemic Mixtures Using Vancomycin as a Chiral Selector: A Case Study with Profen Nonsteroidal Anti-Inflammatory Drugs.
Symmetry, December, 2023
Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction.
Appl. Soft Comput., September, 2023
Data driven recurrent generative adversarial network for generalized zero shot image classification.
Inf. Sci., May, 2023
Eng. Appl. Artif. Intell., May, 2023
Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors.
Sensors, January, 2023
Algorithms, January, 2023
2022
Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks.
Sensors, 2022
A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization.
IEEE Access, 2022
2021
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search.
Neural Comput. Appl., 2021
A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization.
IEEE Access, 2021
Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot.
Proceedings of the 26th International Conference on Automation and Computing, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
2020
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.
Sensors, 2020
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization.
Sensors, 2020
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks.
Int. J. Autom. Comput., 2020
Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy.
Comput. Chem. Eng., 2020
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance.
Comput. Chem. Eng., 2020
Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
2019
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition.
Sensors, 2019
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search.
Appl. Soft Comput., 2019
Single Wearable Accelerometer-Based Human Activity Recognition via Kernel Discriminant Analysis and QPSO-KELM Classifier.
IEEE Access, 2019
Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot.
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks.
Proceedings of the 25th International Conference on Automation and Computing, 2019
An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks.
Proceedings of the 25th International Conference on Automation and Computing, 2019
Nonlinear Data-driven Process Modelling using Slow Feature Analysis and Neural Networks.
Proceedings of the 16th International Conference on Informatics in Control, 2019
Optimization control of a fed-batch process using an improved reinforcement learning algorithm.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
2018
Proceedings of the 24th International Conference on Automation and Computing, 2018
A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection.
Proceedings of the 24th International Conference on Automation and Computing, 2018
Proceedings of the 24th International Conference on Automation and Computing, 2018
Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy.
Proceedings of the 24th International Conference on Automation and Computing, 2018
2017
Int. J. Autom. Comput., 2017
Comput. Chem. Eng., 2017
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine.
Proceedings of the Informatics in Control, Automation and Robotics, 2017
Re-optimisation Control of a Fed-batch Fermentation Process using Bootstrap Aggregated Extreme Learning Machine.
Proceedings of the 14th International Conference on Informatics in Control, 2017
2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the IECON 2016, 2016
Inferential active disturbance rejection control of a heat integrated distillation column.
Proceedings of the 14th International Conference on Control, 2016
Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory.
Proceedings of the 2016 American Control Conference, 2016
2015
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey.
Expert Syst. Appl., 2015
Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models.
Proceedings of the ICINCO 2015, 2015
2013
Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks.
Neural Comput. Appl., 2013
Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks.
Proceedings of the Ninth International Conference on Natural Computation, 2013
2012
Proceedings of the Handbook of Natural Computing, 2012
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach.
Comput. Chem. Eng., 2012
2011
Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models.
Proceedings of the NCTA 2011, 2011
Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks.
Proceedings of the NCTA 2011, 2011
2010
Neural network based iterative learning control for product qualities in batch processes.
Int. J. Model. Identif. Control., 2010
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model.
Comput. Chem. Eng., 2010
2009
Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination.
Neurocomputing, 2009
Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis.
Int. J. Model. Identif. Control., 2009
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model.
Sci. China Ser. F Inf. Sci., 2009
Optimal control of batch processes using particle swam optimisation with stacked neural network models.
Comput. Chem. Eng., 2009
2008
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network.
Neural Comput. Appl., 2008
Batch to batch iterative learning control of a fed-batch fermentation process using linearised models.
Proceedings of the 10th International Conference on Control, 2008
Proceedings of the 10th International Conference on Control, 2008
2007
Proceedings of the American Control Conference, 2007
Proceedings of the IEEE International Conference on Control Applications, 2007
2006
Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks.
Int. J. Autom. Comput., 2006
Improved on-line process fault diagnosis through information fusion in multiple neural networks.
Comput. Chem. Eng., 2006
Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks.
IEEE Trans. Fuzzy Syst., 2005
Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling.
Neural Comput. Appl., 2005
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling.
Comput. Chem. Eng., 2005
Appl. Intell., 2005
Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes.
Proceedings of the American Control Conference, 2005
2004
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network.
Neurocomputing, 2004
Recurrent neural network model based batch-to-batch iterative optimising control.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace.
Proceedings of the 8th International Conference on Control, 2004
2003
Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor.
Proceedings of the American Control Conference, 2003
2002
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model.
Neurocomputing, 2002
Modeling and optimal control of fed-batch processes using control affine feedforward neural networks.
Proceedings of the American Control Conference, 2002
Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions.
Proceedings of the American Control Conference, 2002
Proceedings of the American Control Conference, 2002
2001
Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques.
Proceedings of the 6th European Control Conference, 2001
Proceedings of the American Control Conference, 2001
Proceedings of the American Control Conference, 2001
On-line re-optimisation control of a batch polymerisation reactor based on a hybrid recurrent neural network model.
Proceedings of the American Control Conference, 2001
2000
Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models.
Neural Comput. Appl., 2000
1999
IEEE Trans. Neural Networks, 1999
Inferential estimation of polymer quality using bootstrap aggregated neural networks.
Neural Networks, 1999
Neurocomputing, 1999
1998
Neural Networks, 1998
1996
Fuzzy Sets Syst., 1996
1994
Proceedings of the Postprint Volume from the IFAC Symposium on Artificial Intelligence in Real-Time Control, 1994
1992
Knowl. Based Syst., 1992
1990
Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour.
J. Intell. Robotic Syst., 1990
1988
An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process.
J. Intell. Robotic Syst., 1988