徐荣军, 欧昌俗, 姚忠卯, 马智明, 刘洪霖. 模式识别及人工神经网络算法在16Mn钢生产中应用[J]. 工程科学学报, 1995, 17(S1): 105-109. DOI: 10.13374/j.issn1001-053x.1995.s1.022
引用本文: 徐荣军, 欧昌俗, 姚忠卯, 马智明, 刘洪霖. 模式识别及人工神经网络算法在16Mn钢生产中应用[J]. 工程科学学报, 1995, 17(S1): 105-109. DOI: 10.13374/j.issn1001-053x.1995.s1.022
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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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模式识别及人工神经网络算法在16Mn钢生产中应用

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

    摘要
  • 摘要: 介绍了模式识别与人工神经网络算法应用于16Mn微合金化钢的生产工艺优化,并给出了各目标的最佳工艺参数供生产时参考.

     

    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.

     

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