Zhizhong Mao
Orcid: 0000-0002-4147-0688
According to our database1,
Zhizhong Mao
authored at least 49 papers
between 2007 and 2023.
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Bibliography
2023
Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis.
Entropy, December, 2023
A label noise filtering method for regression based on adaptive threshold and noise score.
Expert Syst. Appl., October, 2023
Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data.
Eng. Appl. Artif. Intell., April, 2023
Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln.
Entropy, January, 2023
Rapid Detection of Iron Ore Grades Based on Fractional-Order Derivative Spectroscopy and Machine Learning.
IEEE Trans. Instrum. Meas., 2023
2022
Generative adversarial network-based real-time temperature prediction model for heating stage of electric arc furnace.
Trans. Inst. Meas. Control, 2022
Int. J. Mach. Learn. Cybern., 2022
Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace.
Eng. Appl. Artif. Intell., 2022
Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble.
Eng. Appl. Artif. Intell., 2022
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.
Comput. Chem. Eng., 2022
2021
Int. J. Mach. Learn. Cybern., 2021
J. Frankl. Inst., 2021
Autom., 2021
2020
A pruned support vector data description-based outlier detection method: Applied to robust process monitoring.
Trans. Inst. Meas. Control, 2020
Neural Comput. Appl., 2020
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule.
Inf. Fusion, 2020
2019
Inf. Fusion, 2019
Int. J. Control, 2019
Outlier detection based on Gaussian process with application to industrial processes.
Appl. Soft Comput., 2019
Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes.
Appl. Soft Comput., 2019
2018
One-class classifiers ensemble based anomaly detection scheme for process control systems.
Trans. Inst. Meas. Control, 2018
2017
Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems.
J. Frankl. Inst., 2017
Inf. Technol. Control., 2017
2016
The modified feature subsets ensemble applied for the mach number prediction in wind tunnel.
IEEE Trans. Aerosp. Electron. Syst., 2016
Sci. Program., 2016
Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees.
Knowl. Based Syst., 2016
A modified robust self-tuning controller for Hammerstein nonlinear systems with asymmetric deadzone input nonlinearity.
J. Syst. Control. Eng., 2016
Adaptive control of stochastic Hammerstein-Wiener nonlinear systems with measurement noise.
Int. J. Syst. Sci., 2016
Comput. Intell. Neurosci., 2016
Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace.
Adv. Eng. Informatics, 2016
2015
Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel.
IEEE Trans. Aerosp. Electron. Syst., 2015
2014
Recursive parameter identification of Hammerstein-Wiener systems with measurement noise.
Signal Process., 2014
Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge.
Neural Comput. Appl., 2014
2013
Corrigendum to "Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace" [Knowl.-Based Syst. 36 (2012) 280-287].
Knowl. Based Syst., 2013
Proceedings of the 9th Asian Control Conference, 2013
Proceedings of the 9th Asian Control Conference, 2013
2012
Comments on "Decentralized Stabilization of Interconnected Systems With Time-Varying Delays".
IEEE Trans. Autom. Control., 2012
Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace.
Knowl. Based Syst., 2012
A direct adaptive controller for EAF electrode regulator system using neural networks.
Neurocomputing, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Decentralized guaranteed cost stabilization of time-delay large-scale systems based on reduced-order observers.
J. Frankl. Inst., 2011
Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays.
Inf. Sci., 2011
Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm.
Comput. Chem. Eng., 2011
2010
An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace.
IEEE Trans Autom. Sci. Eng., 2010
2009
A new soft sensor modeling method based on modified AdaBoost with incremental learning.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration.
Proceedings of the 10th International Conference on Control, 2008
2007
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007