| 4200轧机轧制温度人工神经网络预报 |
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| 引用本文： | 韩丽丽,孟令启,张洛明,马金亮. 4200轧机轧制温度人工神经网络预报[J]. 机械工程师, 2005, 0(12): 126-128 |
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| 作者姓名： | 韩丽丽 孟令启 张洛明 马金亮 |
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| 作者单位： | 郑州大学,机械学院,河南,郑州,450052 |
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| 基金项目： | 国家自然科学基金资助项目（50175031） |
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| 摘 要： | 基于Matlab人工神经网络工具箱,采用改进的BP网络Levenberg Marquardt训练规则,优化计算4200中厚板轧机轧制温度.通过该网络的μ参数的自适应调整,提高了收敛速度,使4200中厚板轧机轧制温度的预报精度大为提高,为预报该轧机的轧制温度计算提供了一条新的途径.
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| 关 键 词： | 4200轧机 轧制温度 BP网络 预报 |
| 文章编号： | 1002-2333(2005)12-0126-03 |
| 收稿时间： | 2005-07-26 |
| 修稿时间： | 2005-07-26 |
Temperature Prediction for 4200 Mill Based on Artificial Nerve Networks |
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| HAN Li-li,MENG Ling-qi,ZHANG Luo-ming,MA Jin-liang. Temperature Prediction for 4200 Mill Based on Artificial Nerve Networks[J]. Mechanical Engineer, 2005, 0(12): 126-128 |
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| Authors: | HAN Li-li MENG Ling-qi ZHANG Luo-ming MA Jin-liang |
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| Affiliation: | School of Mechanical Engineering Zhengzhou University ,Zhengzhou 450052,China |
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| Abstract: | This paper refers to optimized calculation of tenlperature in 4200 plale mill. based on the Matlab nerve network tool and adoption of the improved BP network Levenberg-Marquardt training rules,The ealculating method uses the selfsuit adjutstment of the parameter in the network to increase the covergence speed and then to improve lhe predietion aceuracy of temperature in 4200 plate mill and it can be applied as a new method to predict the temperature in such mill. |
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| Keywords: | 4200 mill temperature BP-networks prediction |
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