| 基于神经网络的连铸钢包下渣识别系统 |
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| 引用本文： | 陈至坤,魏殿才,王福斌.基于神经网络的连铸钢包下渣识别系统[J].机械工程与自动化,2011(5). |
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| 作者姓名： | 陈至坤 魏殿才 王福斌 |
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| 作者单位： | 河北联合大学电气工程学院;唐山劳动技师学院电气工程系; |
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| 摘 要： | BP网络可以逼近复杂的非线性函数,可广泛用于函数拟合、模式识别、分类、数据压缩、预测等。设计了连铸钢包下渣自动检测系统中BP神经网络的结构,并结合钢包下渣工艺参数,对钢包下渣时刻进行了预报分析。仿真结果证明BP神经网络能够提高连铸钢包下渣时刻预报的准确性。
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| 关 键 词： | 连铸下渣 BP神经网络 识别系统 |
Identification System for Slag Detection of Continuous Casting Based on Neural Network |
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| CHEN Zhi-kun,WEI Dian-cai,WANG Fu-bin.Identification System for Slag Detection of Continuous Casting Based on Neural Network[J].Mechanical Engineering & Automation,2011(5). |
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| Authors: | CHEN Zhi-kun WEI Dian-cai WANG Fu-bin |
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| Affiliation: | CHEN Zhi-kun1,WEI Dian-cai1,2,WANG Fu-bin1(1.College of Electrical Engineering,Hebei United University,Tangshan 063009,China,2.Department of Electrical Engineering,Tangshan Laboi Technician College,China) |
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| Abstract: | BP network can approach the complex nonlinear function,and is widely used in function fitting,pattern recognition,classification,data compression and forecasting,etc.In this paper,the BP network structure for slag automatic detection of continuous casting is designed.Analyses of the ladle slag moment are carried out by taking account of slag ladle technological parameters,The simulation results prove that BP neural network can improve the accuracy of forecasting of ladle slag moment. |
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| Keywords: | slag detection of continuous casting BP neural network identification system |
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