| GA—BP网络混合建模方法及其在冷轧参数优化中的应用 |
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| 引用本文： | 王焱,孙一康. GA—BP网络混合建模方法及其在冷轧参数优化中的应用[J]. 济南大学学报(自然科学版), 2001, 15(4): 319-322 |
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| 作者姓名： | 王焱 孙一康 |
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| 作者单位： | 1. 济南大学信息科学与工程学院,
2. 北京科技大学信息工程学院, |
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| 摘 要： | 提出基于遗传算法与BP网络混合建模的冷轧参数智能优化新方法，该方法具有学习功能强、计算精度高、使用方便等特点，且适合在线计算、实验证明了该方法的有效性，为冷连轧机组轧制规程的智能优化设计提供了一条新的途径。
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| 关 键 词： | GA－BP网络 混合建模方法 冷轧 参数 优化 遗传算法 |
| 文章编号： | 1671-3559(2001)04-0319-04 |
| 修稿时间： | 2001-05-20 |
Application of Fusion Modeling Method Based on GA- BP Networks to the Optimization of the Rolling Parameters in Continuous Cold Strip Rolling |
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| Wang Yan ,,Sun Yikang. Application of Fusion Modeling Method Based on GA- BP Networks to the Optimization of the Rolling Parameters in Continuous Cold Strip Rolling[J]. Journal of Jinan University(Science & Technology), 2001, 15(4): 319-322 |
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| Authors: | Wang Yan Sun Yikang |
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| Affiliation: | Wang Yan 1,2,Sun Yikang 2 |
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| Abstract: | The paper advanced a new way to optimize the rolling parameters of cold continuous rolling mills by means of Genetic Algorithm and BP networks The way has the advantages: the strong learning function, the precise results, the convenient using, suiting to on-line calculation With the example, the effectiveness of the method is proved This method also provides another way for optimal design of the rolling schedule of cold continuous rolling mills |
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| Keywords: | neural networks genetic algorithm continuous cold strip rolling rolling parameter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
