Deep stochastic configuration networks with different distributions for crown prediction of hot-rolled non-oriented silicon steel-Reference-Cited by-同舟云学术

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Deep stochastic configuration networks with different distributions for crown prediction of hot-rolled non-oriented silicon steel

Published:2024-08 Issue: Volume:123 Page:83-95
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Ding JingGuo,Du HaoZhan,Meng LingMing,Zhao Jian,Wang GuiQiao,Zhang DianHua

Publisher

Elsevier BV

Reference32 articles.

1. Impact analysis for section profile of hot-rolled raw materials to dimensional accuracy of cold-rolled silicon steel;Li;J Iron Steel Res Int,2014

2. Quantitative study on the relationship between the transverse thickness difference of cold-rolled silicon strip and incoming section profile based on the mechanism-intelligent model;Wang;Metall Res Technol,2021

3. Edge drop control of cold rolled silicon steel strip based on model predictive control;Wang;J Manuf Process,2022

4. Large concave roll technology for hot rolled silicon steel;Ma;Ironmak Steelmak,2016

5. Research and application of approximate rectangular section control technology in hot strip mills;He;J Iron Steel Res Int,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel shape control system of hot-rolled strip based on machine learning fused mechanism model;Expert Systems with Applications;2024-12

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