| BP神经网络在高炉铁水硅预报中的应用 |
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| 引用本文： | 高绪东. BP神经网络在高炉铁水硅预报中的应用[J]. 中国冶金, 2014, 24(6): 24-26 |
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| 作者姓名： | 高绪东 |
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| 作者单位： | 1.重庆科技学院冶金与材料工程学院, 重庆 401331 2.重庆大学材料工程学院, 重庆 400030 |
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| 摘 要： | 随着现代科技的发展和计算机技术的不断提高，高炉自动化操作显得越来越重要。高炉铁水硅预报能很好地反映高炉内热状态和高炉的成分，对高炉运行状态的判断起到至关重要的作用。在总结前人预报模型的基础上，综合考虑了各种影响因素，建立了BP神经网络模型，并结合现场数据进行计算，模拟结果和实际相符。
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| 关 键 词： | BP 硅预报 高炉 神经网络 |
Application of BF Neural Network to Predict Silicon Content in Hot Metal |
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| GAO Xu-dong. Application of BF Neural Network to Predict Silicon Content in Hot Metal[J]. China Metallurgy, 2014, 24(6): 24-26 |
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| Authors: | GAO Xu-dong |
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| Affiliation: | 1.School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China 2.School of Materials and Metallurgy Engineering, Chongqing University, Chongqing 400030, China |
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| Abstract: | With the development of modern science and technology,as the uprating computer technology,The auto-matic operation of BF becomes more and more important.The predicting silicon content in hot metal can reflect the hot state and component of hot metal,also is very important to identify the state of BF.This article,built a BP Neural Network model based on the predecessor with account of various factors.Through the calculation of field da-ta of BF,it indicates the result of simulation coincide to the steel work. |
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| Keywords: | BF BP prediction of silicon content neural network |
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