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

Volume 17 Issue S1

Sep. 2021

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Article Navigation > Chinese Journal of Engineering > 1995 > 17(S1): 105-109

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

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

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

1. Anyan Tron and Steel Company;
2. Shanghai Institute of Metallurgy, Chinese Acadeny of Science

Received Date: 1995-10-25
Available Online: 2021-09-06

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.
- optimization,
- pattern recognition,
- artificial neural network,
- 16Mn-steel