Prediction of Strip Width in Finishing-Mill Group Based on PCA-PSO-LightGBM-Reference-Cited by-同舟云学术

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Prediction of Strip Width in Finishing-Mill Group Based on PCA-PSO-LightGBM

Published:2023-09-23 Issue: Volume:39 Page:892-897
ISSN:
Container-title:2023 6th International Conference on Information Communication and Signal Processing (ICICSP)
language:
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Author:

Wang Jialiang¹,Yao Runyun²,Wang Jingcheng³,Li Jichao¹

Affiliation:

1. School of Electronic Information Engineering, Xi'an Technological University,XI'AN,China

2. CMB Network Technology (Hangzhou) Co., Ltd.,HANGZHOU,China

3. School of Electronic Information Engineering, Xi'an Technological University,Department of Automation,XI'AN,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389815/10388491/10390590.pdf?arnumber=10390590

Reference18 articles.

1. Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm

2. Present situation and future development of profile and flatness control technologies of hot rolled wide strip[J];He;STEEL ROLLING,2022

3. Prediction of lateral spread for hot strip finishing mill based on deep learning[J];Zheng;China Metallurgy,2022

4. Influence mechanism of rolling force on strip shape during tandem hot rolling using a novel 3D multi-stand coupled thermo-mechanical FE model

5. Research and application of approximate rectangular section control technology in hot strip mills

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