| 利用神经网络预测热轧板带力学性能 |
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| 引用本文： | 王殿辉,姜洪生.利用神经网络预测热轧板带力学性能[J].钢铁,1995,30(1):28-31. |
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| 作者姓名： | 王殿辉 姜洪生 |
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| 作者单位： | 东北大学，宝山钢铁（集团）公司 |
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| 摘 要： | 用神经网络预测热轧板带产品的力学性能可显著地改进回归数学模型的不足，并可充分地反映热轧生产主要工艺参数对产品力学性能的影响规律。为预测和控制热轧板带产品的性能质量提供了行之有效的手段。
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| 关 键 词： | 神经网络 力学性能 热轧板带 轧制 板材 带材 |
PREDICTING MECHANICAL PROPERTIES OF HOT ROLLED STRIP BY USING NEURAL NETWORKS |
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| WANG Dianhui,LIU Zhenyu,WANG Guodong, ZhANG Qing.PREDICTING MECHANICAL PROPERTIES OF HOT ROLLED STRIP BY USING NEURAL NETWORKS[J].Iron & Steel,1995,30(1):28-31. |
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| Authors: | WANG Dianhui LIU Zhenyu WANG Guodong ZhANG Qing |
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| Affiliation: | WANG Dianhui;LIU Zhenyu;WANG Guodong; ZhANG Qing(Northeastern University)JIANG Hongsheng;WANG Hongshui(Baoshan Iron&Steel(Group) Co.) |
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| Abstract: | The application of Neural Networks to predicting mechanical propries of hot - rolledstrip can not only improve the predicting precisions comparing with the traditional regressionmodels,but also reflect the regularities of the product mechanical properties with hot rollingparameters.The effective way for predicting and controlling the mechanical properties of hot rolledstrip has been suggested. |
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| Keywords: | neural network BP algorithm mechanical properties |
| 本文献已被 CNKI 维普 等数据库收录！ |
