| 神经网络在钢管孔型设计中的应用 |
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| 引用本文： | 胡建华,双远华,王世杰,王俊芳.神经网络在钢管孔型设计中的应用[J].太原科技大学学报,2007,28(3):202-205. |
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| 作者姓名： | 胡建华 双远华 王世杰 王俊芳 |
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| 作者单位： | 1. 太原科技大学,太原,030024
2. 沈阳重型机械集团有限责任公司,沈阳,110025 |
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| 摘 要： | 文章将人工神经网络与有限元嵌合技术用于钢管孔型参数的预测，运用BP网络建立孔型参数与钢管尺寸精度之间的非线性关系，实现了对孔型参数的优化。解决了长期以来靠经验试凑的问题，为实际生产提供了理论依据，并给钢管生产带来了很大的便利。
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| 关 键 词： | 人工神经网络 有限元 BP网络 孔型参数 |
| 文章编号： | 1673-2057（2007）03-0202-04 |
| 收稿时间： | 2006-06-12 |
| 修稿时间： | 2006年6月12日 |
Application of Neruai Network in Pass Design During Rolling of Steel Tube |
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| HU Jian-hua,SHUANG Yuan-hua,WANG Shi-jie,WANG Jun-fang.Application of Neruai Network in Pass Design During Rolling of Steel Tube[J].Journal of Taiyuan University of Science and Technology,2007,28(3):202-205. |
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| Authors: | HU Jian-hua SHUANG Yuan-hua WANG Shi-jie WANG Jun-fang |
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| Abstract: | Both artificial neural network and finite element method are integrated to predict the pass parameters during rolling of steel tube in the paper. The non-line relationship is developed between pass parameters and precision of steel tube with BP network, which makes optimizing the pass parameters come ture. It resolves the problem that pass parameters are decided only by the method of trial and error according to experience for a long time. It pro- vides the theoretic bases and brings great convenience for production of steel tube. |
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| Keywords: | artificial neural network finite element BP network pass parameters |
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