| 基于BP神经网络的连铸板坯裂纹预报 |
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| 引用本文： | 孙洁,王俊霞. 基于BP神经网络的连铸板坯裂纹预报[J]. 河北理工学院学报, 2009, 0(2): 67-71 |
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| 作者姓名： | 孙洁 王俊霞 |
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| 作者单位： | 河北理工大学计算机与自动控制学院; |
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| 摘 要： | 分析了连铸板坯裂纹的成因,并根据连铸生产的特点和工艺条件,结合国内外一些先进钢铁厂板坯裂纹的防止对策,引入BP神经元网络,采用神经网络与专家系统相结合的方法,运用热电偶温度数据,结合结晶器液面、保护渣、钢号、钢液C,S,P含量等数据实现板坯表面裂纹预报。
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| 关 键 词： | 连铸 裂纹 专家系统 神经网络 |
Crack Forecast with Continuous Casting Based on BP Neural Network |
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| SUN Jie,WANG Jun-xia. Crack Forecast with Continuous Casting Based on BP Neural Network[J]. Journal of Hebei Institute of Technology, 2009, 0(2): 67-71 |
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| Authors: | SUN Jie WANG Jun-xia |
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| Affiliation: | Department of Computer and Automation Control;Hebei Polytechnic University;Tangshan Hebei 063009 China |
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| Abstract: | The causes of continue cast slab crack are analyzed.According to the feature and crafts condition of continuous casting,combined with the prevental countermeasures of board in some national and foreign advanced iron and steel plants,adopt with the BP Neural network,Using neural networks and expert systems integration approach,thermocouple temperature data,combined with liquid crystal,powder,steel,steel of C,S,P,and other data content to achieve slab surface cracks forecast. |
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| Keywords: | continuous casting crack expert system neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
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