| 基于数据挖掘技术的带钢力学性能质量模型 |
| |
| 引用本文： | 王丹民,李华德,李擎. 基于数据挖掘技术的带钢力学性能质量模型[J]. 计算机工程, 2007, 33(1): 244-246 |
| |
| 作者姓名： | 王丹民 李华德 李擎 |
| |
| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
| |
| 摘 要： | 介绍了建立热轧带钢力学性能质量模型的数据挖掘过程。用普通神经网络建立起由工艺参数预测力学性能的质量模型，模型预测结果的5%命中率是0.508。提出了一种新的建模方法──逐层逼近法，并用它建立起质量模型，预测结果的5%命中率达到0.721，完全可以满足现实生产需要。
|
| 关 键 词： | 数据挖掘 人工神经网络 力学性能 |
| 文章编号： | 1000-3428（2007）01-0244-03 |
| 修稿时间： | 2006-01-05 |
Quality Model of Mechanical Properties of Hot-rolled Steel Strip Established with Data Mining Technology |
| |
| WANG Danmin,LI Hnade,LI Qing. Quality Model of Mechanical Properties of Hot-rolled Steel Strip Established with Data Mining Technology[J]. Computer Engineering, 2007, 33(1): 244-246 |
| |
| Authors: | WANG Danmin LI Hnade LI Qing |
| |
| Affiliation: | School of Information Engineering, University of Science and Technology Beijing, Beijing 100083 |
| |
| Abstract: | The data mining process of establishing the quality model is introduced,that could predict the mechanical properties of hot-rolled steel strip with the technological parameter.The quality model whose hit ratio of 5% deviation reach 0.508 is established by applying the technology of basic artificial neural network.The quality model whose hit ratio of 5% deviation reach 0.721 is established by applying the technology oflayer-of-layer impending,and this model could meet current industrial demand fully. |
| |
| Keywords: | Data mining Artificial neural network Mechanical properties |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载免费的PDF全文 |
