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| 人工神经网络在转炉炼钢控制过程中的应用 | |
| 引用本文： | 赵浩文,李长荣,谢祥,尹青.人工神经网络在转炉炼钢控制过程中的应用[J].冶金丛刊,2010(1):40-42. |
| 作者姓名： | 赵浩文 李长荣 谢祥 尹青 |
| 作者单位： | 1. 贵州大学材料与冶金学院,贵州,贵阳,550003 2. 贵州大学材料与冶金学院,贵州,贵阳,550003;贵州省材料结构与强度重点实验室,贵州,贵阳,550003 3. 水城钢铁集团炼钢厂,贵州,六盘水,553028 |
| 摘 要： | 转炉炼钢过程是一个非常复杂的物理化学变化过程，无法用数学方程线性描述。人工神经网络因具有很强的非线性处理能力且具有较强的容错性，从而广泛应用于冶金过程中。本文主要介绍了人工神经网络在转炉炼钢中的应用现状，通过对BP神经网络和RBF神经网络在转炉炼钢中的应用分析，指出人工神经网络技术的应用将进一步提高转炉炼钢过程的自动化水平。 |
| 关 键 词： | 转炉炼钢 BP神经网络 静态控制 预报 |
APPLICATION OF ARTIFICIAL NEURAL NETWORK ON BOF STEELMAKING CONTROL PROCESS |
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| Zhao Haowen,Li Changrong,Xie Xiang,Yin Qing.APPLICATION OF ARTIFICIAL NEURAL NETWORK ON BOF STEELMAKING CONTROL PROCESS[J].Metallurgical Collections,2010(1):40-42. | |
| Authors: | Zhao Haowen Li Changrong Xie Xiang Yin Qing |
| Affiliation: | 1 ( 1. College of Materials and Metallurgy, Guizhou University, Guiyang 550003, Guihzou ; 2. Guizhou Province Key Laboratory for Material Structure and Intensity, Guiyang 550003, Guizhou ; 3. Shuicheng Iron ＆ Steel Co. , Ltd. , Liupanshui 553028, Guizhou) |
| Abstract: | BOF steelmaking is a very complex physical chemistry process which can not be described with mathematical equations of linear. Artificial neural network can be used in metallurgical process due to its ability of dealing with non-linear problems and strong fault-tolerance. The present application of ar- tificial neural network was briefly introduced on B0F steelmaking process. According to the analysis of BP neural network and RBF neural network in BOF, it pointed out that the application of artificial neural network will improve the automatic control level of BOF steelmaking process. |
| Keywords: | BOF steelmaking BP neural network static control prediction |
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