| 基于人工神经网络的CSP热轧板带力学性能预报 |
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| 引用本文： | 胡于华,程晓茹,戴宇杰.基于人工神经网络的CSP热轧板带力学性能预报[J].南方金属,2007(1):17-20. |
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| 作者姓名： | 胡于华 程晓茹 戴宇杰 |
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| 作者单位： | 武汉科技大学材料与与冶金学院,湖北,武汉,430081 |
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| 摘 要： | 建立了BP神经网络力学性能预报模型.神经网络模型经过训练,得到的预报结果与实际测量的数据相比较表明:BP神经网络预报产品的力学性能精度较高,具有良好的推广价值.
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| 关 键 词： | 人工神经网络 力学性能 预报 工神经网络 热轧板带 力学性能预报模型 artificial neural network mechanical property 价值 精度 预报产品 比较 数据 实际测量 结果 训练 网络模型 |
| 文章编号： | 1009-9700(2007)01-0017-04 |
| 修稿时间： | 2006-05-25 |
Prediction of mechanical property of hot-rolled strips by artificial neural network |
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| HU Yu-hua,CHENG Xiao-ru,DAI Yu-jie.Prediction of mechanical property of hot-rolled strips by artificial neural network[J].Southern Metals,2007(1):17-20. |
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| Authors: | HU Yu-hua CHENG Xiao-ru DAI Yu-jie |
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| Abstract: | A model for predicting the mechanical properties of hot-rolled strips produced by CSP technique was proposed based on BP neural network.A comparison of the properties predicted using a trained artificial neural network(ANN),with the measured ones showed that the prediction by the BP neural network was precise and reliable,and hence is suitable for an extended application. |
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| Keywords: | artificial neural network mechanical properties prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
