molten iron quality Latest Research Papers

Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.106906 ◽

2021 ◽

Vol 219 ◽

pp. 106906

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang ◽

Limin Zhang ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Fuzzy Modeling ◽

Molten Iron ◽

Takagi Sugeno ◽

Output Space ◽

Molten Iron Quality

Download Full-text

Output Space Transfer-Based MIMO RVFLNs Modeling for Estimation of Blast Furnace Molten Iron Quality With Missing Indexes

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3063200 ◽

2021 ◽

Vol 70 ◽

pp. 1-10

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang

Keyword(s):

Blast Furnace ◽

Molten Iron ◽

Output Space ◽

Molten Iron Quality

Download Full-text

Low-rank based Multi-Input Multi-Output Takagi-Sugeno fuzzy modeling for prediction of molten iron quality in blast furnace

Fuzzy Sets and Systems ◽

10.1016/j.fss.2020.08.012 ◽

2020 ◽

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Junlei Qian ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Fuzzy Modeling ◽

Molten Iron ◽

Low Rank ◽

Takagi Sugeno ◽

Molten Iron Quality

Download Full-text

Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking

Neurocomputing ◽

10.1016/j.neucom.2020.01.030 ◽

2020 ◽

Vol 387 ◽

pp. 139-149

Author(s):

Jin Xie ◽

Ping Zhou

Keyword(s):

Blast Furnace ◽

Molten Iron ◽

Blast Furnace Ironmaking ◽

Molten Iron Quality

Download Full-text

A Novel MIMO T-S Fuzzy Modeling for Prediction of Blast Furnace Molten Iron Quality with Missing Outputs

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2020.2983667 ◽

2020 ◽

pp. 1-1

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Fuzzy Modeling ◽

Molten Iron ◽

Molten Iron Quality

Download Full-text

A Novel MIMO RVFLNs for Predicting Molten Iron Quality Indexes in Blast Furnace

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.3031525 ◽

2020 ◽

pp. 1-1

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang

Keyword(s):

Blast Furnace ◽

Molten Iron ◽

Quality Indexes ◽

Molten Iron Quality

Download Full-text

Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking

2018 IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2018.8619757 ◽

2018 ◽

Author(s):

Liang Wen ◽

Ping Zhou ◽

Hong Wang ◽

Tianyou Chai

Keyword(s):

Blast Furnace ◽

Predictive Control ◽

Molten Iron ◽

Model Free ◽

Blast Furnace Ironmaking ◽

Adaptive Predictive Control ◽

Molten Iron Quality

Download Full-text

Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification

Neurocomputing ◽

10.1016/j.neucom.2018.04.060 ◽

2018 ◽

Vol 308 ◽

pp. 101-110 ◽

Cited By ~ 7

Author(s):

Ping Zhou ◽

Dongwei Guo ◽

Tianyou Chai

Keyword(s):

Blast Furnace ◽

System Identification ◽

Predictive Control ◽

Molten Iron ◽

Inverse System ◽

Data Driven ◽

Blast Furnace Ironmaking ◽

Molten Iron Quality

Download Full-text

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2017.2749412 ◽

2018 ◽

Vol 29 (9) ◽

pp. 4007-4021 ◽

Cited By ~ 21

Author(s):

Ping Zhou ◽

Dongwei Guo ◽

Hong Wang ◽

Tianyou Chai

Keyword(s):

Blast Furnace ◽

Molten Iron ◽

Data Driven ◽

Quality Indices ◽

Blast Furnace Ironmaking ◽

Estimation And Control ◽

And Control ◽

Molten Iron Quality

Download Full-text

Multivariate Molten Iron Quality Modeling Based on Improved Incremental Random Vector Functional-link Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.434 ◽

2018 ◽

Vol 51 (21) ◽

pp. 290-294

Author(s):

Y. Jiang ◽

P. Zhou ◽

G. Yu

Keyword(s):

Random Vector ◽

Molten Iron ◽

Functional Link ◽

Quality Modeling ◽

Molten Iron Quality

Download Full-text

molten iron quality
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace

Output Space Transfer-Based MIMO RVFLNs Modeling for Estimation of Blast Furnace Molten Iron Quality With Missing Indexes

Low-rank based Multi-Input Multi-Output Takagi-Sugeno fuzzy modeling for prediction of molten iron quality in blast furnace

Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking

A Novel MIMO T-S Fuzzy Modeling for Prediction of Blast Furnace Molten Iron Quality with Missing Outputs

A Novel MIMO RVFLNs for Predicting Molten Iron Quality Indexes in Blast Furnace

Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking

Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Multivariate Molten Iron Quality Modeling Based on Improved Incremental Random Vector Functional-link Networks

Export Citation Format

molten iron qualityRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace

Output Space Transfer-Based MIMO RVFLNs Modeling for Estimation of Blast Furnace Molten Iron Quality With Missing Indexes

Low-rank based Multi-Input Multi-Output Takagi-Sugeno fuzzy modeling for prediction of molten iron quality in blast furnace

Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking

A Novel MIMO T-S Fuzzy Modeling for Prediction of Blast Furnace Molten Iron Quality with Missing Outputs

A Novel MIMO RVFLNs for Predicting Molten Iron Quality Indexes in Blast Furnace

Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking

Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Multivariate Molten Iron Quality Modeling Based on Improved Incremental Random Vector Functional-link Networks

molten iron quality
Recently Published Documents