期刊文献+

Modeling and Optimizing of Deformed Steel Bars Hot Rolling 被引量:1

Modeling and Optimizing of Deformed Steel Bars Hot Rolling
下载PDF
导出
摘要 Based on experimental data, a nonlinear model about tensile strength and technical parameters such as Mn and St content, finishing rolling speed and finishing rolling temperature for deformed steel bars in the process of hot rolling was established by using artificial neural networks. The model can be optimized with a genetic algorithm. The optimum rolling parameters were obtained. Based on experimental data, a nonlinear model about tensile strength and technical parameters such as Mn and St content, finishing rolling speed and finishing rolling temperature for deformed steel bars in the process of hot rolling was established by using artificial neural networks. The model can be optimized with a genetic algorithm. The optimum rolling parameters were obtained.
出处 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 1999年第4期289-291,共3页 矿物冶金与材料学报(英文版)
关键词 artificial neural networks MODELING genetic algorithm optimizing artificial neural networks modeling genetic algorithm, optimizing
  • 相关文献

同被引文献3

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部