| 数据压缩技术在工业过程中的应用 |
| |
| 引用本文： | 王粉花,董平. 数据压缩技术在工业过程中的应用[J]. 北京科技大学学报, 2002, 24(5): 568-570. DOI: 10.3321/j.issn:1001-053X.2002.05.023 |
| |
| 作者姓名： | 王粉花 董平 |
| |
| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
| |
| 摘 要： | 针对应用模式识别技术进行数据降维过程中存在的人为性及冗余性等不足,提出一种有效的数据压缩技术--主元分析法.研究表明,此方法具有快速、准确、一次自动完成等显著优点,有效率达到85.18%.
|
| 关 键 词： | 模式识别 数据压缩 主元分析 |
| 修稿时间： | 2001-05-11 |
Application of Date Compression Technique to Industrial Processes |
| |
| WANG Fenhua,DONG PingInformation Engineering School,UST Beijing,Beijing ,China. Application of Date Compression Technique to Industrial Processes[J]. Journal of University of Science and Technology Beijing, 2002, 24(5): 568-570. DOI: 10.3321/j.issn:1001-053X.2002.05.023 |
| |
| Authors: | WANG Fenhua DONG PingInformation Engineering School UST Beijing Beijing China |
| |
| Affiliation: | WANG Fenhua,DONG PingInformation Engineering School,UST Beijing,Beijing 100083,China |
| |
| Abstract: | An effective data compression technique, the principal element analysis method, is proposed to tackle the short-comings of human influences and redundancy during data dimension reductions in the pattern recognition. It shows the advantages of high speed, good accuracy, and automatic completion. The effective rate reaches 85.18%. |
| |
| Keywords: | pattern recognition data compression principal element analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
