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| BP神经网络在轧制力计算中的应用 | |
| 引用本文： | 夏宇,赵团民,郭军. BP神经网络在轧制力计算中的应用[J]. 重型机械, 2013, 0(5): 11-13 |
| 作者姓名： | 夏宇 赵团民 郭军 |
| 作者单位： | [1]中国重型机械研究院股份公司,陕西西安710032 [2]西安交通大学,陕西西安710049 |
| 基金项目： | 西安市科技计划项目可逆冷轧机过程自动化控制及厚度自动控制系统（GXY1105） |
| 摘 要： | 针对传统轧制力模型不能提供足够精确的预报值问题，采用BP神经网络技术能够提供了一个崭新的建模工具，该技术有很多算法，本文利用不同算法的BP网络对中国重型机械研究院设计的1450六辊冷轧机轧制压力进行了预报，结果显示traingdx算法误差较小，平均偏差为0．016，计算结果比较精确。 |
| 关 键 词： | 轧制力 神经网络 traingdx |
Aoolication of BP neural network in rolling force prediction |
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| XIA Yu,ZHAO Tuan-min,GUO Jun. Aoolication of BP neural network in rolling force prediction[J]. Heavy Machinery, 2013, 0(5): 11-13 | |
| Authors: | XIA Yu ZHAO Tuan-min GUO Jun |
| Affiliation: | 1. China National Heavy Machinery Research Institute Co. , Ltd. , Xi＇an 710032, China; 2. Xi＇an Jiaotong University, Xi＇an 710049, China) |
| Abstract: | For traditional rolling models can＇t give sufficiently accurate prediction value, the technique of BP neural networks has been provided as a new modeling tool with many algorithms. In this paper, the rolling force of a 1450 six-high strip cold rolling mill, designed by China National Heavy Machinery Research Institute, was predicted by various algorithms of BP network. Results show that the traingdx algorithm has smaller error, and its average deviation is only 0. 016, so the algorithm is more precise. |
| Keywords: | rolling force neural network traingdx |
| 本文献已被 维普 等数据库收录！ | |