Shihua Luo

发表

Simultaneous feature selection and clustering based on square root optimization

He Jiang, Shihua Luo, Yao Dong, 2021, Eur. J. Oper. Res..

Multimode Process Monitoring Based on Modified Probabilistic Linear Discriminant Analysis

Lei Xie, Yi Liu, Hongye Su, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Sequential Graphical Lasso for Fault Detection and Isolation

Lei Xie, Hongye Su, Shihua Luo, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

A State Space Model for Monitoring of the Dynamic Blast Furnace System

Shihua Luo, Jinhui Cai, Jiusun Zeng, 2012 .

Using non‐linear GARCH model to predict silicon content in blast furnace hot metal

Chuanhou Gao, Shihua Luo, Jiusun Zeng, 2008 .

Frequency-Division Combination Forecasting of Stock Market Based on Wavelet Multiresolution Analysis

Shihua Luo, Jiangyou Huo, Zian Dai, 2018 .

An improved mixture robust probabilistic linear discriminant analyzer for fault classification.

Lei Xie, Hongye Su, Yi Liu, 2020, ISA transactions.

Online process monitoring based on incremental LPP

Chuanhou Gao, Shihua Luo, Jiusun Zeng, 2011, Proceedings of the 30th Chinese Control Conference.

Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models

Ling Jian, Xiaoyu Ma, Shihua Luo, 2019, J. Comput. Appl. Math..

A Novel Approach Based on Process Identification for Estimating the Time of Arrival of Electromechanical Wave

Weihao Hu, Qi Huang, Jian Li, 2018, 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process

Ling Jian, Shihua Luo, Hongyi Chen, 2020, Applied Intelligence.

Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation

Lei Xie, Hongye Su, Shihua Luo, 2019, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

Identification of the Optimal Control Center for Blast Furnace Thermal State Based on the Fuzzy C-means Clustering

Jian Huang, Shihua Luo, Jiusun Zeng, 2011 .

Soft Sensing of a Nonlinear Multimode Process Using a Self Organizing Model and Conditional Probability Density Analysis

Shihua Luo, Yuchen He, Jiusun Zeng, 2019, Industrial & Engineering Chemistry Research.

Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines

Chuanhou Gao, Ling Jian, Shihua Luo, 2012, IEEE Transactions on Industrial Electronics.

Two Derivative Algorithms of Gradient Boosting Decision Tree for Silicon Content in Blast Furnace System Prediction

Shihua Luo, Tianxin Chen, Shihua Luo, 2020, IEEE Access.

Some information measures for interval-valued intuitionistic fuzzy sets

Shengyi Jiang, Shihua Luo, Baoguo Jia, 2010, Inf. Sci..

Structured sequential Gaussian graphical models for monitoring time-varying process

Lei Xie, Uwe Kruger, Hongye Su, 2019 .

Mixture Probabilistic Linear Discriminant Analyzer for Process Fault Classification

Lei Xie, Yi Liu, Hongye Su, 2019, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS).

Hierarchical density decompositions for abnormal event diagnosis in serially correlated non-Gaussian systems

Lei Xie, Uwe Kruger, Shihua Luo, 2020 .

Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation

Wei Chen, Shihua Luo, Xiaobin Xu, 2020 .

Optimal operation strategy extraction for blast furnace ironmaking process based on fuzzy C-means clustering

Shihua Luo, Jiusun Zeng, Xihua Chen, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Monitoring of dynamic process using hierarchical probability density decomposition

Lei Xie, Uwe Kruger, Shihua Luo, 2017, 2017 Chinese Automation Congress (CAC).

Information Entropy, Similarity Measure and Inclusion Measure of Intuitionistic Fuzzy Sets

Lihua Wu, Fuchun Liu, Shihua Luo, 2012, ICICA.

Prediction for silicon content in molten iron using unsupervised optimal fuzzy clustering

Shihua Luo, Zhilong Li, Jian Huang, 2008, 2008 7th World Congress on Intelligent Control and Automation.

The Probabilistic Interval-Valued Hesitant Pythagorean Fuzzy Set and Its Application in Selecting Processes of Project Private Partner

Jun Liu, Shihua Luo, Shihua Luo, 2019, IEEE Access.

Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System

Ling Jian, Shihua Luo, Tianxin Chen, 2018, Int. J. Online Eng..

Fault Detection and Identification of Blast Furnace Ironmaking Process Using the Gated Recurrent Unit Network

Yifan Li, Shihua Luo, Jiusun Zeng, 2020, Processes.

Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation

Lei Xie, Hongye Su, Shihua Luo, 2018, IEEE Transactions on Industrial Informatics.

Exploiting Expertise Rules for Statistical Data-Driven Modeling

Ling Jian, Jundong Li, Shihua Luo, 2017, IEEE Transactions on Industrial Electronics.

A Noise-Resilient Online Learning Algorithm for Scene Classification

Ling Jian, Peng Ren, Shihua Luo, 2018, Remote. Sens..

Process monitoring using probabilistic graphical models via nonparametric density estimation

Lei Xie, Uwe Kruger, Shihua Luo, 2017 .

Blast Furnace System Modeling by Multivariate Phase Space Reconstruction and Neural Networks

Chuanhou Gao, Shihua Luo, Jiusun Zeng, 2013 .

Nonparametric Density Estimation of Hierarchical Probabilistic Graph Models for Assumption-Free Monitoring

Lei Xie, Uwe Kruger, Shihua Luo, 2017 .

Wiener Model Identification of Blast Furnace Ironmaking Process

Chuanhou Gao, Ling Jian, Shihua Luo, 2008 .