| 基于人工神经网络的扁钢轧制力模型 |
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| 引用本文： | 赵伦,王邦文,韩素梅.基于人工神经网络的扁钢轧制力模型[J].北京科技大学学报,1999,21(3):277-279. |
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| 作者姓名： | 赵伦 王邦文 韩素梅 |
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| 作者单位： | 1. 北京科技大学机械工程学院,北京100083
2. 北京市机械工业学校,北京,100045 |
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| 摘 要： | 根据ＢＰ人工神经网络算法原理，结合某厂型钢轧机轧制扁钢时的轧制力实测数据，对扁钢轧制力进行建模，结果表明，神经网络用于轧制力建模是可行的，所建模型系统误差〈１％，模型计算值与实测值的偏差，４％，较好地反映了实际轧制过程的特征。
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| 关 键 词： | 系统建模 神经网络 轧制力模型 |
Modeling of the Rolling Force Based on Artificial Neural Networks |
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| Zhao Lun,Wang Bangwen,Hai Sumei.Modeling of the Rolling Force Based on Artificial Neural Networks[J].Journal of University of Science and Technology Beijing,1999,21(3):277-279. |
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| Authors: | Zhao Lun Wang Bangwen Hai Sumei |
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| Abstract: | Based on the principle of BP neural networks, the rolling force model is created after thoroughly analyzing and Processing the data of 400 nun mill. It states that the difference betWeen the real value and the ours of the model is in order of 4 percent. The model on basis of BPNN is Practical and it reflects the real featUre of the rolling process. |
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| Keywords: | system modeling neural networks rolling force model |
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