| 基于多神经网络的热连轧轧制力预计算 |
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| 引用本文： | 刘东东,王焱,郭庆玲.基于多神经网络的热连轧轧制力预计算[J].济南大学学报(自然科学版),2007,21(3):234-237. |
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| 作者姓名： | 刘东东 王焱 郭庆玲 |
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| 作者单位： | 济南大学,控制科学与工程学院,山东,济南,250022 |
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| 摘 要： | 提出使用BP、RBF混合网络建立的多神经网络来预报热连轧轧制力。工程实例说明，相对于传统数学模型和单神经网络建立的数学模型，多神经网络在预报精度和网络冗余方面占有较大优势。文中建模方法也为．研究多变量复杂工程提出了一条新思路。
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| 关 键 词： | 多神经网络 轧制力预报 热连轧 |
| 文章编号： | 1671-3559(2007)03-0234-04 |
| 修稿时间： | 2006年12月5日 |
Prediction of Rolling Force Based on Multi-neural Network |
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| LIU Dong-dong,WANG Yan,Guo Qing-ling.Prediction of Rolling Force Based on Multi-neural Network[J].Journal of Jinan University(Science & Technology),2007,21(3):234-237. |
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| Authors: | LIU Dong-dong WANG Yan Guo Qing-ling |
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| Abstract: | The multi-neural networks including RBF and BP neural networks are used to predict the rolling force.It can be seen from the sample data collected in hot mill strip,that compared with those rolling force models which include traditional model and single-neural network model,Multi-neural-network models in application of neural networks is more accurate and redundant.The method of creating model used in this paper brings up a new way to the study of complicated engineering systems of multi-variables. |
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| Keywords: | multi-neural networks prediction of rolling force hot strip mills |
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