Prediction Model of Si Content in Hot Metal Based on Nueral Networks

Yang Shangbao; Yang Tianjun; Dong Yicheng

doi:10.13374/j.issn1001-053x.1995.06.006

Volume 17 Issue 6

Sep. 2021

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Article Navigation > Chinese Journal of Engineering > 1995 > 17(6): 524-528

Yang Shangbao, Yang Tianjun, Dong Yicheng. Prediction Model of Si Content in Hot Metal Based on Nueral Networks[J]. Chinese Journal of Engineering, 1995, 17(6): 524-528. doi: 10.13374/j.issn1001-053x.1995.06.006

Citation:

Yang Shangbao, Yang Tianjun, Dong Yicheng. Prediction Model of Si Content in Hot Metal Based on Nueral Networks[J]. Chinese Journal of Engineering, 1995, 17(6): 524-528. doi: 10.13374/j.issn1001-053x.1995.06.006

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Prediction Model of Si Content in Hot Metal Based on Nueral Networks

doi: 10.13374/j.issn1001-053x.1995.06.006

Department of Metallurgy, USTB, Beijing 100083, PRC

Received Date: 1995-06-15
Available Online: 2021-09-06

Abstract

Abstract

According to the checking method of blast furnace in our country,prediction model of silicon content in bot metal on mueral metworks has been developed by applying the method of artificial networks.This model has good adaptability and self-learning function.
- blast furnace,
- Si content,
- prediction,
- neural networks,
- model