| 气瓶钢性能预测的研究 |
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| 引用本文： | 刘孝荣,马列. 气瓶钢性能预测的研究[J]. 宝钢技术, 2003, 0(3): 42-46,54 |
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| 作者姓名： | 刘孝荣 马列 |
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| 作者单位： | 宝钢股份公司,热轧厂,上海,200941 |
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| 摘 要： | 紧密结合宝钢的生产实际，根据现场的实绩数据，应用ANN理论建立了气瓶钢性能预测模型，该系统的建立，可以减少生产作业工序和金属损耗，降低生产成本，增加经济效益。
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| 关 键 词： | 性能预测 气瓶钢 人工神经网络 前向网络 热轧带钢 |
| 文章编号： | 1008-0716(2003)03-0042-05 |
Research on Performance Prediction for Gas Cylinder Steel |
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| LIU Xiao rong MA Lie. Research on Performance Prediction for Gas Cylinder Steel[J]. Baosteel Technology, 2003, 0(3): 42-46,54 |
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| Authors: | LIU Xiao rong MA Lie |
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| Abstract: | A performance prediction model for gas cylinder steel (B440HP) has been set up on the basis of data collected on the site.It combines Baosteel's production with the ANN theory.With the establishment of the model system,working procedure can be simplified,metal loss can be cut down,production cost can be reduced and economic efficiency can be improved. |
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| Keywords: | Performance prediction Gas cylinder steel Artificial neuron network Forward neuron network Hot rolled strip steel |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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