An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process. - Jie Zhang 005; Peter D. Roberts; J. E. Ellis (J. Intell. Robotic Syst., 1988)

Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour. - Jie Zhang 005; Peter D. Roberts; J. E. Ellis (J. Intell. Robotic Syst., 1990)

Use of genetic algorithms in training diagnostic rules for process fault diagnosis. - Jie Zhang 005; Peter D. Roberts (Knowl. Based Syst., 1992)

Fault Diagnosis of a CSTR using fuzzy Neural Networks. - Jie Zhang 005; A. Julian Morris; Gary A. Montague (AIRTC, 1994)

Process modelling and fault diagnosis using fuzzy neural networks. - Jie Zhang 005; Julian Morris (Fuzzy Sets Syst., 1996)

A Sequential Learning Approach for Single Hidden Layer Neural Networks. - Jie Zhang 005; A. Julian Morris (Neural Networks, 1998)

Developing robust non-linear models through bootstrap aggregated neural networks. - Jie Zhang 005 (Neurocomputing, 1999)

Inferential estimation of polymer quality using bootstrap aggregated neural networks. - Jie Zhang 005 (Neural Networks, 1999)

Recurrent neuro-fuzzy networks for nonlinear process modeling. - Jie Zhang 005; A. Julian Morris (IEEE Trans. Neural Networks, 1999)

Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models. - Jie Zhang 005; A. Julian Morris (Neural Comput. Appl., 2000)

On-line re-optimisation control of a batch polymerisation reactor based on a hybrid recurrent neural network model. - Yuan Tian; Jie Zhang 005; Julian Morris (ACC, 2001)

Inferential feedforward control of a distillation column. - Jie Zhang 005; Rudy Agustriyanto (ACC, 2001)

Nonlinear model predictive control based on multiple local linear models. - Jie Zhang 005; Julian Morris (ACC, 2001)

Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques. - Ron J. Patton; C. J. Lopez-Toribio; Silvio Simani; Julian Morris; Elaine B. Martin; Jie Zhang 005 (ECC, 2001)

Optimal energy cost in ideal internal thermally coupled distillation columns. - Xinggao Liu; Yongmao Xu; Jie Zhang 005; Jixin Qian (ACC, 2002)

Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions. - Jianli Wei; Shunjie Fan; Yongmao Xu; Jie Zhang 005 (ACC, 2002)

Modeling and optimal control of fed-batch processes using control affine feedforward neural networks. - Zhihua Xiong; Jie Zhang 005 (ACC, 2002)

Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. - Yuan Tian; Jie Zhang 005; Julian Morris (Neurocomputing, 2002)

Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor. - Zhihua Xiong; Jie Zhang 005 (ACC, 2003)

Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks. - Zainal Ahmad; Jie Zhang 005 (IJCNN, 2003)

Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace. - Qiang Zhou; Jie Zhang 005; Yongmao Xu (ICARCV, 2004)

A Neural Network Modeling Method for Batch Process. - Yi Liu; XianHui Yang; Jie Zhang 005 (ISNN (2), 2004)

Run-to-Run Iterative Optimization Control of Batch Processes. - Zhihua Xiong; Jie Zhang 005; Xiong Wang; Yongmao Xu (ISNN (2), 2004)

A Novel Nonlinear Projection to Latent Structures Algorithm. - Shi Jian Zhao; Yongmao Xu; Jie Zhang 005 (ISNN (2), 2004)

Recurrent neural network model based batch-to-batch iterative optimising control. - Zhihua Xiong; Jie Zhang 005 (Neural Networks and Computational Intelligence, 2004)

Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. - Zhihua Xiong; Jie Zhang 005 (Neurocomputing, 2004)

An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes. - Zhihua Xiong; Jie Zhang 005; Xiong Wang; Yongmao Xu (ACC, 2005)

Batch-to-Batch Optimal Control Based on Support Vector Regression Model. - Yi Liu; XianHui Yang; Zhihua Xiong; Jie Zhang 005 (ISNN (3), 2005)

Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes. - Zhihua Xiong; Jie Zhang 005; Xiong Wang; Yongmao Xu (ISNN (3), 2005)

Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks. - Zhihua Xiong; Jie Zhang 005 (Appl. Intell., 2005)

Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. - Zainal Ahmad; Jie Zhang 005 (Comput. Chem. Eng., 2005)

Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. - Zainal Ahmad; Jie Zhang 005 (Neural Comput. Appl., 2005)

Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks. - Jie Zhang 005 (IEEE Trans. Fuzzy Syst., 2005)

A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models. - Zainal Ahmad; Jie Zhang 005 (ISNN (2), 2006)

Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process. - Qiang Zhou; Zhihua Xiong; Jie Zhang 005; Yongmao Xu (ISNN (2), 2006)

Improved on-line process fault diagnosis through information fusion in multiple neural networks. - Jie Zhang 005 (Comput. Chem. Eng., 2006)

Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks. - Jie Zhang 005 (Int. J. Autom. Comput., 2006)

Improved Bleach Plant Control Using Internal Model Control with Smith Predictor. - Fernando S. Antelo; Jie Zhang 005 (CCA, 2007)

Obtaining the Worst Case RGA and RDGA for Uncertain Systems via Optimization. - Rudy Agustriyanto; Jie Zhang 005 (ACC, 2007)

Iterative learning control with reference batch for linear time-variant systems. - Hui Geng; Zhihua Xiong; Yongmao Xu; Jie Zhang 005 (ICARCV, 2008)

Batch to batch iterative learning control of a fed-batch fermentation process using linearised models. - Jie Zhang 005; Jerome Nguyan; Julian Morris; Zhihua Xiong (ICARCV, 2008)

Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. - Zhihua Xiong; Yixin Xu; Jie Zhang 005; Jin Dong (Neural Comput. Appl., 2008)

Optimal control of batch processes using particle swam optimisation with stacked neural network models. - Fernando Herrera; Jie Zhang 005 (Comput. Chem. Eng., 2009)

Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model. - Zhihua Xiong; Jin Dong; Jie Zhang 005 (Sci. China Ser. F Inf. Sci., 2009)

Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis. - Rudy Agustriyanto; Jie Zhang 005 (Int. J. Model. Identif. Control., 2009)

Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. - Zainal Ahmad; Jie Zhang 005 (Neurocomputing, 2009)

On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. - Tao Chen 009; Jie Zhang 005 (Comput. Chem. Eng., 2010)

Neural network based iterative learning control for product qualities in batch processes. - Zhihua Xiong; Yixin Xu; Jin Dong; Jie Zhang 005 (Int. J. Model. Identif. Control., 2010)

Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks. - Katy Ferguson; Jie Zhang 005; Carl Steele; Colin Clarke; Julian Morris (IJCCI (NCTA), 2011)

Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models. - Jie Zhang 005; Nikos G. Pantelelis (IJCCI (NCTA), 2011)

Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach. - Shallon Stubbs; Jie Zhang 005; Julian Morris (Comput. Chem. Eng., 2012)

Nonlinear Process Modelling and Control Using Neurofuzzy Networks. - Jie Zhang 005 (Handbook of Natural Computing, 2012)

Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks. - Damson Leonard Kaunga; Jie Zhang 005; Katy Ferguson; Carl Steele (ICNC, 2013)

Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks. - Kazim-Junior Rod Mohammed; Jie Zhang 005 (Neural Comput. Appl., 2013)

Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models. - Fahad Al Kalbani; Jie Zhang 005 (ICINCO (1), 2015)

Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor. - Seyong Jung; Jie Zhang 005; Rui Oliveira 002 (MMAR, 2015)

Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. - Jarinah Mohd Ali; Mohamed Azlan Hussain; Moses O. Tadé; Jie Zhang 005 (Expert Syst. Appl., 2015)

Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory. - Zhihua Xiong; Yingdong Hong; Chen Chen; Jie Zhang 005; Maiying Zhong (ACC, 2016)

Inferential active disturbance rejection control of a heat integrated distillation column. - Fahad Khamis Al Kalbani; Jie Zhang 005 (ICARCV, 2016)

Inferential disturbance observer based control of a binary distillation column. - Simon William Jeffries; Shamsa Al-Abri; Jie Zhang 005 (IECON, 2016)

Active disturbance rejection control of a heat integrated distillation column. - Fahad Al Kalbani; Jie Zhang 005; Thomas Bisgaard; Jakob Kjøbsted Huusom (MMAR, 2016)

Fault monitoring and fault tolerant control in distillation columns. - Sulaiman Ayobami Lawal; Jie Zhang 005 (MMAR, 2016)

Modelling of a post-combustion CO2 capture process using extreme learning machine. - Fei Li; Jie Zhang 005; Eni Oko; Meihong Wang (MMAR, 2016)

Re-optimisation Control of a Fed-batch Fermentation Process using Bootstrap Aggregated Extreme Learning Machine. - Carolina Maria Cardona Baron; Jie Zhang 005 (ICINCO (1), 2017)

Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine. - Carolina Maria Cardona Baron; Jie Zhang 005 (ICINCO (Selected Papers), 2017)

Thermodynamic optimization of atmospheric distillation unit. - Funmilayo N. Osuolale; Jie Zhang 005 (Comput. Chem. Eng., 2017)

Actuator fault monitoring and fault tolerant control in distillation columns. - Sulaiman Ayobami Lawal; Jie Zhang 005 (Int. J. Autom. Comput., 2017)

Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy. - Kai Liu; Jie Zhang 005 (ICAC, 2018)

Point-to-Point Iterative Learning Control with Piecewise Constant Inputs. - Xiangfeng Shen; Zhihua Xiong; Jie Zhang 005 (ICAC, 2018)

A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection. - Yiming Tian; Xitai Wang; Peng Yang; Jie Wang 015; Jie Zhang 005 (ICAC, 2018)

Inferential Estimation of Polymer Melt Index Using Deep Belief Networks. - Changhao Zhu; Jie Zhang 005 (ICAC, 2018)

Optimization control of a fed-batch process using an improved reinforcement learning algorithm. - Peng Zhang 058; Jie Zhang 005; Bingzhang Hu; Yang Long 001 (CCTA, 2019)

Nonlinear Data-driven Process Modelling using Slow Feature Analysis and Neural Networks. - Jeremiah Corrigan; Jie Zhang 005 (ICINCO (1), 2019)

An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks. - Shengkai Wang; Jie Zhang 005 (ICAC, 2019)

Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks. - Changhao Zhu; Jie Zhang 005 (ICAC, 2019)

An improved reinforcement learning control strategy for batch processes. - Peng Zhang 058; Jie Zhang 005; Yang Long 001; Bingzhang Hu (MMAR, 2019)

Process Fault Detection and Reconstruction by Principal Component Analysis. - Ruosen Qi; Jie Zhang 005 (MMAR, 2019)

Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot. - Shengkai Wang; Jie Zhang 005 (MMAR, 2019)

Single Wearable Accelerometer-Based Human Activity Recognition via Kernel Discriminant Analysis and QPSO-KELM Classifier. - Yiming Tian; Jie Zhang 005; Lingling Chen; Yanli Geng; Xitai Wang (IEEE Access, 2019)

Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. - Qiangda Yang; Jie Zhang 005; Zhi Yi (Appl. Soft Comput., 2019)

Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition. - Yiming Tian; Jie Zhang 005; Lingling Chen; Yanli Geng; Xitai Wang (Sensors, 2019)

Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique. - Kazeem Alli; Jie Zhang 005 (ICAART (2), 2020)

Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine. - Ruosen Qi; Jie Zhang 005 (INDIN, 2020)

Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder. - Shengkai Wang; Jie Zhang 005 (INDIN, 2020)

Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance. - Jeremiah Corrigan; Jie Zhang 005 (Comput. Chem. Eng., 2020)

Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy. - Kai Liu; Jie Zhang 005 (Comput. Chem. Eng., 2020)

Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks. - Changhao Zhu; Jie Zhang 005 (Int. J. Autom. Comput., 2020)

Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization. - Xinxin Li; Zuojun Liu; Xinzhi Gao; Jie Zhang 005 (Sensors, 2020)

Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. - Fanglin Mu; Yu Gu 003; Jie Zhang 005; Lei Zhang 202 (Sensors, 2020)

A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes. - Shengkai Wang; Jie Zhang 005 (ICIT, 2021)

Dual Prototype Relaxation for Generalized Zero Shot Learning. - Jie Zhang 005; Haofeng Zhang 001; Bingzhang Hu (ICME, 2021)

Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot. - Shengkai Wang; Jie Zhang 005 (ICAC, 2021)

A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization. - Yiming Tian; Jie Zhang 005; Lipeng Li; Zuojun Liu (IEEE Access, 2021)

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search. - Qiangda Yang; Yichuan Fu; Jie Zhang 005 (Neural Comput. Appl., 2021)

A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization. - Yiming Tian; Jie Zhang 005; Qi Chen; Zuojun Liu (IEEE Access, 2022)

Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks. - Yiming Tian; Jie Zhang 005; Qi Chen; Shuping Hou; Li Xiao (Sensors, 2022)

A Review on Data-Driven Condition Monitoring of Industrial Equipment. - Ruosen Qi; Jie Zhang 005; Katy Spencer (Algorithms, 2023)

Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors. - Fahad Al Kalbani; Jie Zhang 005 (Sensors, 2023)

A collaborative cuckoo search algorithm with modified operation mode. - Qiangda Yang; Huan Huang; Jie Zhang 005; Hongbo Gao 002; Peng Liu (Eng. Appl. Artif. Intell., 2023)

Data driven recurrent generative adversarial network for generalized zero shot image classification. - Jie Zhang 005; Shengbin Liao; Haofeng Zhang 001; Yang Long 001; Zheng Zhang 006; Li Liu 004 (Inf. Sci., 2023)

Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. - Danny Hartanto Djarum; Zainal Ahmad; Jie Zhang 005 (Appl. Soft Comput., 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. - Dehbiya Gherdaoui; Madiha Melha Yahoum; Selma Toumi; Hichem Tahraoui; Fatma Bouazza; Sonia Lefnaoui; Abdelhamid Zeghdaoui; Abdeltif Amrane; Bassem Jaouadi; Jie Zhang 005 (Symmetry, 2023)

Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. - Samuel Sells; Jie Zhang 005 (ICAART (2), 2024)

An adaptive operator selection cuckoo search for parameter extraction of photovoltaic models. - Qiangda Yang; Yubo Wang; Jie Zhang 005; Hongbo Gao 002 (Appl. Soft Comput., 2024)

Modelling the Degree of Cure in a Reactive Polymer Composite Moulding Process Through Hybrid Mechanistic Neural Network Models. - Samuel Sells; Jie Zhang 005 (SN Comput. Sci., 2025)