Ying Liu
Orcid: 0000-0003-2441-5537Affiliations:
- Dalian University of Technology, School of Control Science and Engineering, China
According to our database1,
Ying Liu
authored at least 17 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
Time series prediction with input noise based on the ESN and the EM and its industrial applications.
Expert Syst. Appl., May, 2023
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron., 2023
2022
Proceedings of the 13th Asian Control Conference, 2022
2021
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry.
Inf. Sci., 2021
Artif. Intell. Rev., 2021
2019
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network.
IEEE Access, 2019
2018
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2016
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient.
Inf. Sci., 2016
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks.
Artif. Intell. Rev., 2016
2015
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning.
Appl. Soft Comput., 2015
Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry.
Proceedings of the 10th Asian Control Conference, 2015
2014
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry.
IEEE Trans Autom. Sci. Eng., 2014
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry.
Inf. Sci., 2014
2013
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration.
Neurocomputing, 2013
2012
Inf. Sci., 2012
Prediction for noisy nonlinear time series by echo state network based on dual estimation.
Neurocomputing, 2012
2011
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application.
IEEE Trans. Control. Syst. Technol., 2011