Multi-task prediction of hot rolled steel mechanical properties based on CA-MMCE

Author:

Zhang Qiwen,Wang Yichao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference22 articles.

1. Prediction and analysis of mechanical properties of low carbon steels using machine learning;Choudhury;J. Inst. Eng. (India) Ser.,2022

2. The prediction of the mechanical properties for hot-rolled Nb micro-alloyed dual-phase steel based on microstructure characteristics;Li;JOM,2023

3. Microstructure evolution, mechanical properties and tailoring of coefficient of thermal expansion for Cu/Mo/Cu clad sheets fabricated by hot rolling;Liu;Trans. Nonferrous Met. Soc. China,2022

4. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning;Zhang;Transp. Metr. A: Transp. Sci.,2019

5. A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems;Ji;Inf. Sci.,2022

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