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ORCIDJie Zhang 0005
Person information
- affiliation: University of Newcastle, UK
Other persons with the same name
- Jie Zhang — disambiguation page
- Jie Jennifer Zhang
![[0000-0002-8471-2384]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8471-2384")
(aka: Jie Zhang 0001) — University of Texas at Arlington (and 1 more) - Jie Zhang 0002 — Nanyang Technological University, School of Computer Engineering, Singapore (and 1 more)
- Jie Zhang 0003 — Ranplan, Cambridge, UK (and 3 more)
- Jie Zhang 0004 — State Key Laboratory of Networking and Switching Technology, BUPT
- Jie Zhang 0006 — Beijing University of Posts and Telecommunication, State Key Laboratory of Information Photonics and Optical Communications, China
- Jie Zhang 0007 (aka: Jie (Jerry) Zhang) — Google (and 1 more)
- Jie Zhang 0008 — University of Bath, Department of Computer Science, UK (and 4 more)
- Jie Zhang 0009 — University of British Columbia (and 1 more)
- Jie Zhang 0010 — Indiana University, Indianapolis, IN, USA (and 1 more)
- Jie Zhang 0011 — Institute for Infocomm Research
- Jie Zhang 0012 — Fudan University, Centre for Computational Systems Biology, Shanghai, China
- Jie Zhang 0013 — University of Maryland, Department of Geographical Sciences (and 1 more)
- Jie Zhang 0014 — North China University of Technology
- Jie Zhang 0015 — Magister Solutions (and 1 more)
- Jie Zhang 0016 — Sichuan Electric Power Research Institute, State Grid Corporation of China, Chengdu, China (and 1 more)
- Jie Zhang 0018 — University of Maryland, School of Business
- Jie Zhang 0019 — Harbin Institute of Technology, School of Electronics and Information Engineering, China (and 1 more)
- Jie Zhang 0020 — Beijing Institute of Electronic System Engineering, China
- Jie Zhang 0021 — Southeast University, Nanjing
- Jie Zhang 0022 — Nanjing University, School of Geographic and Oceanographic Sciences
- Jie Zhang 0023 — Midwestern State University, Wichita Falls, TX, USA (and 1 more)
- Jie Zhang 0024 — University of Technology, Sydney
- Jie Zhang 0025 — Oracle (and 1 more)
- Jie Zhang 0026 — Apple, CA, USA (and 2 more)
- Jie Zhang 0027 — University of South Florida Tampa, Department of Civil & Environmental Engineering, FL, USA
- Jie Zhang 0028 — Northwest University, School of Information Science and Technology, Xi'an, China
- Jie Zhang 0029 — Hohai University, Department of IoT Engineering, Changzhou, China (and 1 more)
- Jie Zhang 0030 — Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China (and 1 more)
- Jie Zhang 0031 — Xidian University, Key Laboratory of Electronic Equipment Structure Design, Xi'an, China
- Jie Zhang 0032 — University of Bristol, Department of Mechanical Engineering, UK
- Jie Zhang 0033 — Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China
- Jie Zhang 0034 — Nanjing University of Science and Technology, School of Automation, China (and 1 more)
- Jie Zhang 0035 — Clemson University, Department of Physics, Computational Biophysics and Bioinformatics / Computer Science, SC, USA
- Jie Zhang 0036 — Wuhan University of Technology, School of Computer Science & Technology, China
- Jie Zhang 0038 — Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
- Jie Zhang 0039 — Xi'an Jiaotong University, School of Microelectronics, China
- Jie Zhang 0040 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Jie Zhang 0041 — Donghua University, College of Mechanical Engineering, Shanghai, China (and 2 more)
- Jie Zhang 0042 — University of Science and Technology of China, NEL-SLIP, Hefei, China (and 3 more)
- Jie Zhang 0043 — Hunan University, College of Computer Science and Electronics Engineering, Changsha, China
- Jie Zhang 0044 — Shengyao Intelligence Technology Co. Ltd., China (and 1 more)
- Jie Zhang 0045 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Jie Zhang 0046 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Jie Zhang 0047 — City University London, UK
- Jie Zhang 0048 — School of Computer Science, Peking University, China (and 3 more)
- Jie Zhang 0049 — Adobe Systems, San Jose, CA, USA (and 1 more)
- Jie Zhang 0050 (aka: Jie M. Zhang) — King's College London, Uk (and 2 more)
- Jie Zhang 0051 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China (and 1 more)
- Jie Zhang 0052 — Xidian University, School of Cyber Engineering, Xi'an, China
- Jie Zhang 0053 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Jie Zhang 0054 — University of Texas at Dallas, Department of Mechanical Engineering, Dallas, TX, USA (and 1 more)
- Jie Zhang 0055 — Dongguan University of Technology, School of Computer Science and Network Security, Dongguan, China
- Jie Zhang 0056 — Liaoning Normal University, School of Mathematics, Dalian, China (and 1 more)
- Jie Zhang 0057 — Southwest University, School of Electronic and Information Engineering, Chongqing, China
- Jie Zhang 0058 — Jiangnan University, School of Digital Media, Wuxi, China
- Jie Zhang 0059 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China (and 1 more)
- Jie Zhang 0060 — Ant Financial Services Group, Hangzhou, China
- Jie Zhang 0061 — Beijing Institute of Technology, School of Computer Science, China
- Jie Zhang 0062 — Nanjing University of Aeronautics and Astronautics, College of Economics and Management, China (and 1 more)
- Jie Zhang 0063 — Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, Cambridge, MA, USA (and 1 more)
- Jie Zhang 0064 — University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China
- Jie Zhang 0065 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Jie Zhang 0066 — Zhengzhou University of Light Industry, College of Electric and Information Engineering, China
- Jie Zhang 0067 — Air Force Engineering University, Air and Missile Defense College, Xian, Shanxi, China
- Jie Zhang 0068 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Jie Zhang 0069 — Xi'an Jiaotong University, State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi, China (and 1 more)
- Jie Zhang 0070 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (and 1 more)
- Jie Zhang 0071 — Chinese Academy of Sciences, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Zhang 0072 — Yulin Normal University, School of Computer Science and Engineering, China
- Jie Zhang 0073 — University of Science and Technology of China, School of Cyber Science and Security, Hefei, China
- Jie Zhang 0074 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Jie Zhang 0075 — Harbin Engineering University, College of Information and Communication Engineering, China
- Jie Zhang 0076 — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 1 more)
- Jie Zhang 0077 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Jie Zhang 0078 — Tsinghua University, Department of Computer Science, Beijing, China
- Jie Zhang 0079 — Institute for Infocomm Research, Singapore (and 1 more)
- Jie Zhang 0080 — Beijing Normal University, Department of Mathematics, China
- Jie Zhang 0081 — Zhejiang University, School of Software Technology, Collaborative Innovation Center of Artificial Intelligence, Hangzhou, China (and 1 more)
- Jie Zhang 0082 — Hefei University of Technology, School of Electrical and Automation Engineering, China
- Jie Zhang 0083 — Xi'an Jiaotong-Liverpool University, International Business School Suzhou, China (and 1 more)
- Jie Zhang 0084 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Jie Zhang 0085 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
- Jie Zhang 0086 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Jie Zhang 0087 — Huazhong University of Science and Technology, School of Physics, Wuhan, China (and 1 more)
- Jie Zhang 0088 — Liaoning Normal University, School of Mathematics, Dalian, China (and 1 more)
- Jie Zhang 0089 — Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
- Jie Zhang 0090 — Hong Kong Polytechnic University, School of Design, Hong Kong
- Jie Zhang 0091 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an, China
- Jie Zhang 0092 — University of Kentucky, Department of Radiology, Lexington, KY, USA
- Jie Zhang 0093 — Northwestern Polytechnical University, Ministry of Education China, Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Xi'an, China
- Jie Zhang 0094 — Guangxi University, School of Computer, Electronics and Information, Nanning, China
- Jie Zhang 0095 — Changchun University of Technology, School of Mathematics and Statistics, China (and 1 more)
- Jie Zhang 0096 — University of Washington, WA, USA
- Jie Zhang 0097 — Northwest Normal University, College of Physics and Electronic Engineering, Lanzhou, China
- Jie Zhang 0098 — University of Technology Malaysia, Faculty of Social Sciences and Humanities, Kuala Lumpur (and 1 more)
- Jie Zhang 0099 — Sun Yat-Sen University, School of Aeronautics and Astronautics, Shenzhen, China
- Jie Zhang 0100 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Changsha, China
- Jie Zhang 0101 — Southwest Jiaotong University, Department of Measuring and Controlling Technology, School of Mechanical Engineering, Chengdu, China
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2020 – today
- 2024
[c55]Samuel Sells, Jie Zhang:
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. ICAART (2) 2024: 614-621- 2023
- [j47]Ruosen Qi, Jie Zhang, Katy Spencer:
A Review on Data-Driven Condition Monitoring of Industrial Equipment. Algorithms 16(1): 9 (2023) - [j46]Danny Hartanto Djarum, Zainal Ahmad, Jie Zhang:
Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. Appl. Soft Comput. 144: 110466 (2023) - [j45]Qiangda Yang, Huan Huang, Jie Zhang, Hongbo Gao, Peng Liu:
A collaborative cuckoo search algorithm with modified operation mode. Eng. Appl. Artif. Intell. 121: 106006 (2023) - [j44]Jie Zhang, Shengbin Liao, Haofeng Zhang, Yang Long, Zheng Zhang, Li Liu:
Data driven recurrent generative adversarial network for generalized zero shot image classification. Inf. Sci. 625: 536-552 (2023) - [j43]Fahad Al Kalbani, Jie Zhang:
Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors. Sensors 23(2): 1019 (2023) - [j42]Dehbiya Gherdaoui, Madiha Melha Yahoum, Selma Toumi, Hichem Tahraoui, Fatma Bouazza, Sonia Lefnaoui, Abdelhamid Zeghdaoui, Abdeltif Amrane, Bassem Jaouadi, Jie Zhang:
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 15(12): 2154 (2023) - 2022
- [j41]Yiming Tian, Jie Zhang, Qi Chen, Zuojun Liu:
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 10: 125027-125041 (2022) - [j40]Yiming Tian, Jie Zhang, Qi Chen, Shuping Hou, Li Xiao:
Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks. Sensors 22(21): 8225 (2022) - 2021
- [j39]Yiming Tian, Jie Zhang, Lipeng Li, Zuojun Liu:
A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization. IEEE Access 9: 107235-107249 (2021) - [j38]Qiangda Yang, Yichuan Fu, Jie Zhang:
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search. Neural Comput. Appl. 33(12): 6487-6509 (2021) - [c54]Shengkai Wang, Jie Zhang:
A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes. ICIT 2021: 973-978 - [c53]Jie Zhang, Haofeng Zhang, Bingzhang Hu:
Dual Prototype Relaxation for Generalized Zero Shot Learning. ICME 2021: 1-6 - [c52]Shengkai Wang, Jie Zhang:
Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot. ICAC 2021: 1-6 - 2020
- [j37]Kai Liu, Jie Zhang:
Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy. Comput. Chem. Eng. 135: 106730 (2020) - [j36]Jeremiah Corrigan, Jie Zhang:
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance. Comput. Chem. Eng. 139: 106842 (2020) - [j35]Changhao Zhu, Jie Zhang:
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks. Int. J. Autom. Comput. 17(1): 44-54 (2020) - [j34]Fanglin Mu, Yu Gu, Jie Zhang, Lei Zhang:
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. Sensors 20(15): 4238 (2020) - [j33]Xinxin Li, Zuojun Liu, Xinzhi Gao, Jie Zhang:
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization. Sensors 20(22): 6533 (2020) - [c51]Kazeem Alli, Jie Zhang:
Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique. ICAART (2) 2020: 668-674 - [c50]Ruosen Qi, Jie Zhang:
Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine. INDIN 2020: 775-780 - [c49]Shengkai Wang, Jie Zhang:
Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder. INDIN 2020: 787-792
2010 – 2019
- 2019
- [j32]Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang:
Single Wearable Accelerometer-Based Human Activity Recognition via Kernel Discriminant Analysis and QPSO-KELM Classifier. IEEE Access 7: 109216-109227 (2019) - [j31]Qiangda Yang, Jie Zhang, Zhi Yi:
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. Appl. Soft Comput. 83 (2019) - [j30]Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang:
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition. Sensors 19(16): 3468 (2019) - [c48]Peng Zhang, Jie Zhang, Bingzhang Hu, Yang Long:
Optimization control of a fed-batch process using an improved reinforcement learning algorithm. CCTA 2019: 314-319 - [c47]Jeremiah Corrigan, Jie Zhang:
Nonlinear Data-driven Process Modelling using Slow Feature Analysis and Neural Networks. ICINCO (1) 2019: 439-446 - [c46]Shengkai Wang, Jie Zhang:
An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks. ICAC 2019: 1-6 - [c45]Changhao Zhu, Jie Zhang:
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks. ICAC 2019: 1-6 - [c44]Shengkai Wang, Jie Zhang:
Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot. MMAR 2019: 36-41 - [c43]Peng Zhang, Jie Zhang, Yang Long, Bingzhang Hu:
An improved reinforcement learning control strategy for batch processes. MMAR 2019: 360-365 - [c42]Ruosen Qi, Jie Zhang:
Process Fault Detection and Reconstruction by Principal Component Analysis. MMAR 2019: 594-599 - 2018
- [c41]Kai Liu, Jie Zhang:
Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy. ICAC 2018: 1-6 - [c40]Xiangfeng Shen, Zhihua Xiong, Jie Zhang:
Point-to-Point Iterative Learning Control with Piecewise Constant Inputs. ICAC 2018: 1-6 - [c39]Yiming Tian, Xitai Wang, Peng Yang, Jie Wang, Jie Zhang:
A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection. ICAC 2018: 1-6 - [c38]Changhao Zhu, Jie Zhang:
Inferential Estimation of Polymer Melt Index Using Deep Belief Networks. ICAC 2018: 1-6 - 2017
- [j29]Funmilayo N. Osuolale, Jie Zhang:
Thermodynamic optimization of atmospheric distillation unit. Comput. Chem. Eng. 103: 201-209 (2017) - [j28]Sulaiman Ayobami Lawal, Jie Zhang:
Actuator fault monitoring and fault tolerant control in distillation columns. Int. J. Autom. Comput. 14(1): 80-92 (2017) - [c37]Carolina Maria Cardona Baron, Jie Zhang:
Re-optimisation Control of a Fed-batch Fermentation Process using Bootstrap Aggregated Extreme Learning Machine. ICINCO (1) 2017: 165-176 - [c36]Carolina Maria Cardona Baron, Jie Zhang:
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine. ICINCO (Selected Papers) 2017: 272-294 - 2016
- [c35]Zhihua Xiong, Yingdong Hong, Chen Chen, Jie Zhang, Maiying Zhong:
Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory. ACC 2016: 1259-1264 - [c34]Fahad Khamis Al Kalbani, Jie Zhang:
Inferential active disturbance rejection control of a heat integrated distillation column. ICARCV 2016: 1-6 - [c33]Simon William Jeffries, Shamsa Al-Abri, Jie Zhang:
Inferential disturbance observer based control of a binary distillation column. IECON 2016: 190-195 - [c32]Fahad Al Kalbani, Jie Zhang, Thomas Bisgaard, Jakob Kjøbsted Huusom:
Active disturbance rejection control of a heat integrated distillation column. MMAR 2016: 278-283 - [c31]Sulaiman Ayobami Lawal, Jie Zhang:
Fault monitoring and fault tolerant control in distillation columns. MMAR 2016: 865-870 - [c30]Fei Li, Jie Zhang, Eni Oko, Meihong Wang:
Modelling of a post-combustion CO2 capture process using extreme learning machine. MMAR 2016: 1252-1257 - 2015
- [j27]Jarinah Mohd Ali, Mohamed Azlan Hussain, Moses O. Tadé, Jie Zhang:
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Syst. Appl. 42(14): 5915-5931 (2015) - [c29]Fahad Al Kalbani, Jie Zhang:
Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models. ICINCO (1) 2015: 358-364 - [c28]Sulaiman Ayobami Lawal, Jie Zhang:
Actuator fault monitoring and fault tolerant control in distillation columns. ICAC 2015: 1-6 - [c27]Seyong Jung, Jie Zhang, Rui Oliveira:
Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor. MMAR 2015: 459-464 - 2013
- [j26]Kazim-Junior Rod Mohammed, Jie Zhang:
Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks. Neural Comput. Appl. 23(7-8): 1891-1898 (2013) - [c26]Damson Leonard Kaunga, Jie Zhang, Katy Ferguson, Carl Steele:
Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks. ICNC 2013: 178-183 - 2012
- [j25]Shallon Stubbs, Jie Zhang, Julian Morris:
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach. Comput. Chem. Eng. 41: 77-87 (2012) - [p1]Jie Zhang:
Nonlinear Process Modelling and Control Using Neurofuzzy Networks. Handbook of Natural Computing 2012: 401-434 - 2011
- [c25]Jie Zhang, Nikos G. Pantelelis:
Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models. IJCCI (NCTA) 2011: 236-241 - [c24]Katy Ferguson, Jie Zhang, Carl Steele, Colin Clarke, Julian Morris:
Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks. IJCCI (NCTA) 2011: 322-325 - 2010
- [j24]Tao Chen, Jie Zhang:
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. Comput. Chem. Eng. 34(4): 500-507 (2010) - [j23]Zhihua Xiong, Yixin Xu, Jin Dong, Jie Zhang:
Neural network based iterative learning control for product qualities in batch processes. Int. J. Model. Identif. Control. 11(1/2): 107-114 (2010)
2000 – 2009
- 2009
- [j22]Fernando Herrera, Jie Zhang:
Optimal control of batch processes using particle swam optimisation with stacked neural network models. Comput. Chem. Eng. 33(10): 1593-1601 (2009) - [j21]Zhihua Xiong, Jin Dong, Jie Zhang:
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model. Sci. China Ser. F Inf. Sci. 52(7): 1136-1144 (2009) - [j20]Rudy Agustriyanto, Jie Zhang:
Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis. Int. J. Model. Identif. Control. 6(2): 126-135 (2009) - [j19]Zainal Ahmad, Jie Zhang:
Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. Neurocomputing 72(4-6): 1198-1204 (2009) - 2008
- [j18]Zhihua Xiong, Yixin Xu, Jie Zhang, Jin Dong:
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. Neural Comput. Appl. 17(4): 425-432 (2008) - [c23]Hui Geng, Zhihua Xiong, Yongmao Xu, Jie Zhang:
Iterative learning control with reference batch for linear time-variant systems. ICARCV 2008: 739-744 - [c22]Jie Zhang, Jerome Nguyan, Julian Morris, Zhihua Xiong:
Batch to batch iterative learning control of a fed-batch fermentation process using linearised models. ICARCV 2008: 745-750 - 2007
- [c21]Fernando S. Antelo, Jie Zhang:
Improved Bleach Plant Control Using Internal Model Control with Smith Predictor. CCA 2007: 862-867 - [c20]Rudy Agustriyanto, Jie Zhang:
Obtaining the Worst Case RGA and RDGA for Uncertain Systems via Optimization. ACC 2007: 5360-5365 - 2006
- [j17]Jie Zhang:
Improved on-line process fault diagnosis through information fusion in multiple neural networks. Comput. Chem. Eng. 30(3): 558-571 (2006) - [j16]Jie Zhang:
Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks. Int. J. Autom. Comput. 3(1): 1-7 (2006) - [c19]Zainal Ahmad, Jie Zhang:
A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models. ISNN (2) 2006: 943-948 - [c18]Qiang Zhou, Zhihua Xiong, Jie Zhang, Yongmao Xu:
Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process. ISNN (2) 2006: 1132-1137 - 2005
- [j15]Zhihua Xiong, Jie Zhang:
Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks. Appl. Intell. 22(2): 149-161 (2005) - [j14]Zainal Ahmad, Jie Zhang:
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. Comput. Chem. Eng. 30(2): 295-308 (2005) - [j13]Zainal Ahmad, Jie Zhang:
Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. Neural Comput. Appl. 14(1): 78-87 (2005) - [j12]Jie Zhang:
Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks. IEEE Trans. Fuzzy Syst. 13(4): 417-427 (2005) - [c17]Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu:
An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes. ACC 2005: 1935-1940 - [c16]Yi Liu, XianHui Yang, Zhihua Xiong, Jie Zhang:
Batch-to-Batch Optimal Control Based on Support Vector Regression Model. ISNN (3) 2005: 125-130 - [c15]Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu:
Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes. ISNN (3) 2005: 839-844 - 2004
- [j11]Zhihua Xiong, Jie Zhang:
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. Neurocomputing 61: 317-337 (2004) - [c14]Qiang Zhou, Jie Zhang, Yongmao Xu:
Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace. ICARCV 2004: 2129-2133 - [c13]Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu:
Run-to-Run Iterative Optimization Control of Batch Processes. ISNN (2) 2004: 97-103 - [c12]Shi Jian Zhao, Yongmao Xu, Jie Zhang:
A Novel Nonlinear Projection to Latent Structures Algorithm. ISNN (2) 2004: 773-778 - [c11]Yi Liu, XianHui Yang, Jie Zhang:
A Neural Network Modeling Method for Batch Process. ISNN (2) 2004: 874-879 - [c10]Zhihua Xiong, Jie Zhang:
Recurrent neural network model based batch-to-batch iterative optimising control. Neural Networks and Computational Intelligence 2004: 1-6 - 2003
- [c9]Zhihua Xiong, Jie Zhang:
Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor. ACC 2003: 1962-1967 - 2002
- [j10]Yuan Tian, Jie Zhang, Julian Morris:
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. Neurocomputing 48(1-4): 919-936 (2002) - [c8]Xinggao Liu, Yongmao Xu, Jie Zhang, Jixin Qian:
Optimal energy cost in ideal internal thermally coupled distillation columns. ACC 2002: 1502-1507 - [c7]Jianli Wei, Shunjie Fan, Yongmao Xu, Jie Zhang:
Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions. ACC 2002: 2725-2730 - [c6]Zhihua Xiong, Jie Zhang:
Modeling and optimal control of fed-batch processes using control affine feedforward neural networks. ACC 2002: 5025-5030 - 2001
- [c5]Yuan Tian, Jie Zhang, Julian Morris:
On-line re-optimisation control of a batch polymerisation reactor based on a hybrid recurrent neural network model. ACC 2001: 350-355 - [c4]Jie Zhang, Rudy Agustriyanto:
Inferential feedforward control of a distillation column. ACC 2001: 2555-2560 - [c3]Jie Zhang, Julian Morris:
Nonlinear model predictive control based on multiple local linear models. ACC 2001: 3503-3508 - [c2]Ron J. Patton, C. J. Lopez-Toribio, Silvio Simani, Julian Morris, Elaine B. Martin, Jie Zhang:
Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques. ECC 2001: 2729-2734 - 2000
- [j9]Jie Zhang, A. Julian Morris:
Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models. Neural Comput. Appl. 9(1): 50-59 (2000)
1990 – 1999
- 1999
- [j8]Jie Zhang:
Developing robust non-linear models through bootstrap aggregated neural networks. Neurocomputing 25(1-3): 93-113 (1999) - [j7]Jie Zhang:
Inferential estimation of polymer quality using bootstrap aggregated neural networks. Neural Networks 12(6): 927-938 (1999) - [j6]Jie Zhang, A. Julian Morris:
Recurrent neuro-fuzzy networks for nonlinear process modeling. IEEE Trans. Neural Networks 10(2): 313-326 (1999) - 1998
- [j5]Jie Zhang, A. Julian Morris:
A Sequential Learning Approach for Single Hidden Layer Neural Networks. Neural Networks 11(1): 65-80 (1998) - 1996
- [j4]Jie Zhang, Julian Morris:
Process modelling and fault diagnosis using fuzzy neural networks. Fuzzy Sets Syst. 79(1): 127-140 (1996) - 1994
- [c1]Jie Zhang, A. Julian Morris, Gary A. Montague:
Fault Diagnosis of a CSTR using fuzzy Neural Networks. AIRTC 1994: 153-158 - 1992
- [j3]Jie Zhang, Peter D. Roberts:
Use of genetic algorithms in training diagnostic rules for process fault diagnosis. Knowl. Based Syst. 5(4): 277-288 (1992) - 1990
- [j2]Jie Zhang, Peter D. Roberts, J. E. Ellis:
Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour. J. Intell. Robotic Syst. 3(2): 103-115 (1990)
1980 – 1989
- 1988
- [j1]Jie Zhang, Peter D. Roberts, J. E. Ellis:
An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process. J. Intell. Robotic Syst. 1(3): 209-223 (1988)
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-30 20:25 CET by the dblp team
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