Prediction Model of Nickel Converter Based on Neural Network Algorithm-Reference-Cited by-同舟云学术

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Prediction Model of Nickel Converter Based on Neural Network Algorithm

Published:2023-07-20 Issue: Volume: Page:
ISSN:1047-4838
Container-title:JOM
language:en
Short-container-title:JOM

Author:

Xing Jiahao,Sun Fenglong,Wang Lei,Zhang Xijun,Ma Yutian,Lu Sujun,Zhan Huanwu,Huang Jianyang,Chen Ailiang^ORCID

Funder

National High-tech Research and Development Program

State Key Laboratory of Nickel and Cobalt Resources Comprehensive Utilization

Guangxi Innovation-Driven Development Project

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s11837-023-05989-y.pdf

Reference19 articles.

1. J. Liu, Z. Zou, S. Zhong, S. Zhang, and H. Zhang, Ionics 27, 1501–1509 https://doi.org/10.1007/s11581-021-03925-1 (2021).

2. M.Q. Xue, Int. J. Surf. Sci. Eng. 4, 439–447 https://doi.org/10.1504/ijsurfse.2010.035146 (2010).

3. S. Hwang, J. Lee, U.G. Hong, J.G. Seo, J.C. Jung, D.J. Koh, H. Lim, C. Byun, and I.K. Song, J. Ind. Eng. Chem. 17, 154–157 https://doi.org/10.1016/j.jiec.2010.12.015 (2011).

4. K. Zhao, F. Gao, and Q.Y. Yang, J. Sustain. Metall. 8, 37–50 https://doi.org/10.1007/s40831-022-00501-3 (2022).

5. A.O. Bol’shikh, O.I. Tsybin, M.A. Bol’shikh, O.G. Kuznetsova, and A.M. Levin, Russ. Metall. 2020, 718–722 https://doi.org/10.1134/s0036029520070034 (2020).

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