Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production

Xu Rongjun; Ou Changsu; Yao Zhongmao; Ma Zhiming; Liu Honglin

doi:10.13374/j.issn1001-053x.1995.s1.022

Xu Rongjun, Ou Changsu, Yao Zhongmao, Ma Zhiming, Liu Honglin. Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production[J]. Chinese Journal of Engineering, 1995, 17(S1): 105-109. DOI: 10.13374/j.issn1001-053x.1995.s1.022

Citation:

Xu Rongjun, Ou Changsu, Yao Zhongmao, Ma Zhiming, Liu Honglin. Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production[J]. Chinese Journal of Engineering, 1995, 17(S1): 105-109. DOI: 10.13374/j.issn1001-053x.1995.s1.022

Citation:

Xu Rongjun, Ou Changsu, Yao Zhongmao, Ma Zhiming, Liu Honglin. Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production[J]. Chinese Journal of Engineering, 1995, 17(S1): 105-109. DOI: 10.13374/j.issn1001-053x.1995.s1.022

Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production

Graphical Abstract

Abstract

Abstract

Recomend Pattern recognition and artifical neural network algorithm be used on the procedure optimization of tiny vanadium alloy-treated 16Mn-steel production. It has been gived that optimum procedure parameter for various traget to provide reference in production.

FullText(HTML)

References (0)

Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production

Abstract

Catalog

Export File

Citation

Format

Content