| 遗传神经网络在平整轧制力预报中的应用 |
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| 引用本文： | 安振刚,李谋渭,尹显东,于宁,唐伟.遗传神经网络在平整轧制力预报中的应用[J].鞍钢技术,2001(6):49-52. |
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| 作者姓名： | 安振刚 李谋渭 尹显东 于宁 唐伟 |
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| 作者单位： | 1. 北京科技大学
2. 鞍钢冷轧厂 |
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| 摘 要： | 研究了平整轧制力设定的人工智能实现方法，采用改进的混合GA－BP遗传神经网络算法建立了平整轧制力预报模型。传统数学模型与遗传神经网络方法获得的统计数据表明，该遗传神经网络方法所得预报值优于传统方法。
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| 关 键 词： | 平整轧制力 神经网络 遗传算法 人工智能 |
| 修稿时间： | 2001年5月15日 |
Application of the Genetic Neural Network for Predicting Rolling Force of Skin Pass Mill |
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| An Zhengang Li Mouwei,Yin Xiandong Yu Ning Tang Wei.Application of the Genetic Neural Network for Predicting Rolling Force of Skin Pass Mill[J].Aisc Techniques,2001(6):49-52. |
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| Authors: | An Zhengang Li Mouwei Yin Xiandong Yu Ning Tang Wei |
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| Affiliation: | An Zhengang Li Mouwei Yin Xiandong Yu Ning Tang Wei (University of Science & Technology Beijing) (AISC Cold Rolled Steel Sheet Plant)$$$$ |
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| Abstract: | This paper discusses the artificial intelligence method to set up the rolling force of skin pass mill and establishes the model to predict the rolling force of skin pass mill with the improved commix CA-DP genetic neural network arithmetic. The statistic data from traditional mathematic models and genetic neural network method shows that the genetic neural network method can gets better result that tradition models. |
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| Keywords: | rolling force of skin pass mill neural network genetic arithmetic |
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