Online thickness prediction of hot-rolled strip based on ISSA-OSELM

Author:

Xiao Sizhu,Zhang FeiORCID,Huang Xuezhong

Funder

Beihai science and Technology Bureau

Guangxi Key R&D Program

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Modeling and Simulation

Reference25 articles.

1. Ma, W., et al.: Analysis of the operation status and development trend forecast of the steel industry in 2019. Metall. Manag. 8, 25–30 (2020)

2. Nikiforova, V.: World steel industry: current challenges and development trends (analytical overview). Econ. Ind. 1(81), 86–114 (2018)

3. Satyanarayana, L., Prabhat, K.T.: Online prediction and monitoring of mechanical properties of industrial galvanised steel coils using neural networks. Ironmak Steelmak. 46(9), 1–8 (2017)

4. Lee, J.S., Shin, T.J.: Prediction of steady-state strip profile in flat rolling. Steel Res. Int. 87(7), 930–940 (2016)

5. Prinz, K., Steinboeck, A.: Optimization-based feedforward control of the strip thickness profile in hot strip rolling. J. Process. Control 64, 100–111 (2018)

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