A Comparison Study of Subspace Identification of Blast Furnace Ironmaking Process-Reference-Cited by-同舟云学术

A Comparison Study of Subspace Identification of Blast Furnace Ironmaking Process

Published:2020-09-20 Issue:9 Volume:53 Page:540-545
ISSN:0021-9592
Container-title:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
language:en
Short-container-title:J. Chem. Eng. Japan

Author:

Zhou HaiYun¹²,Wu Ping³^ORCID

Affiliation:

1. School of Economics and Finance, Xi’an Jiaotong University

2. School of Public Security, Nanjing Forest Police College

3. Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University

Publisher

Society of Chemical Engineers, Japan

Subject

General Chemical Engineering,General Chemistry

Link

https://www.jstage.jst.go.jp/article/jcej/53/9/53_19we135/_pdf

Reference23 articles.

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2. Bhattacharya, T.; “Prediction of Silicon Content in Blast Furnace Hot Metal Using Partial Least Squares (PLS),” ISIJ Int., 45, 1943–1945 (2005)

3. Cameron, A. C. and F. A. Windmeijer; “An R-Squared Measure of Goodness of Fit for Some Common Nonlinear Regression Models,” J. Econom., 77, 329–342 (1997)

4. Castore, M., G. Gandolfi, S. Palella and G. Taspedini; “Dynamic Model for Hot-Metal Si prediction in Blast-Furnace Control,” Proceedings of the Developments Ironmaking Practice, Iron and Steel Institute, pp. 152–159, London, U.K. (1972)

5. Gao, C., L. Jian, X. Liu, J. Chen and Y. Sun; “Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System,” IEEE Trans. Neural Netw., 22, 2272–2283 (2011)

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