A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. - Jun Zhao 004; Wei Wang 036; Ying Liu 015; Witold Pedrycz (IEEE Trans. Control. Syst. Technol., 2011)

Prediction for noisy nonlinear time series by echo state network based on dual estimation. - Chunyang Sheng; Jun Zhao 004; Ying Liu 015; Wei Wang 036 (Neurocomputing, 2012)

Data-driven based model for flow prediction of steam system in steel industry. - Ying Liu 015; Quanli Liu; Wei Wang 036; Jun Zhao 004; Henry Leung (Inf. Sci., 2012)

Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration. - Jun Zhao 004; Xiaoliang Zhu; Wei Wang 036; Ying Liu 015 (Neurocomputing, 2013)

Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry. - Jun Zhao 004; Kai Liu; Wei Wang 036; Ying Liu 015 (Inf. Sci., 2014)

A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry. - Jun Zhao 004; Wei Wang 036; Kan Sun; Ying Liu 015 (IEEE Trans Autom. Sci. Eng., 2014)

Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry. - Zheng Lv; Jun Zhao 004; Wei Wang 036; Ying Liu 015; Linqing Wang (ASCC, 2015)

Soft computing for overflow particle size in grinding process based on hybrid case based reasoning. - Zheng Lv; Ying Liu 015; Jun Zhao 004; Wei Wang 036 (Appl. Soft Comput., 2015)

Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks. - Long Chen 012; Ying Liu 015; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2016)

Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient. - Zheng Lv; Jun Zhao 004; Ying Liu 015; Wei Wang 036 (Inf. Sci., 2016)

Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. - Tianyu Wang 002; Jun Zhao 004; Wei Wang 036; Ying Liu 015; Ge Guo 001 (CEC, 2018)

Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network. - Qiang Wang; Linqing Wang; Ying Liu 015; Jun Zhao 004; Wei Wang 036 (IEEE Access, 2019)

Incremental Bayesian broad learning system and its industrial application. - Ying Liu 015; Yifei Wang; Long Chen 012; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2021)

A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry. - Feng Jin; Jun Zhao 004; Ying Liu 015; Wei Wang 036; Qingshan Xu 002 (Inf. Sci., 2021)

Multiple imputation based on Bayesian principal component analysis and bootstrap. - Ying Liu 015; Yunchong Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (ASCC, 2022)

A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. - Ze Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036; Ying Liu 015 (IEEE Trans. Ind. Electron., 2023)

Time series prediction with input noise based on the ESN and the EM and its industrial applications. - Ying Liu 015; Long Chen 012; Yunchong Li; Jun Zhao 004; Wei Wang 036 (Expert Syst. Appl., 2023)