| 利用小样本数据预处理技术提高效能指标精度 |
| |
| 引用本文： | 黄锐,张信启.利用小样本数据预处理技术提高效能指标精度[J].西安文理学院学报,2009,12(3). |
| |
| 作者姓名： | 黄锐 张信启 |
| |
| 作者单位： | 第二炮兵工程学院研二队,陕西西安,710025 |
| |
| 摘 要： | 提出了运用熵值判别法和线性均方估计法来处理小样本数据的方法.熵值判别法是根据熵的上界对应最大的不确定度,利用所得数据的熵信息量判别数据是否含有粗大误差;线性均方估计消除粗大误差是一种采用软化的方法处理粗大误差.经过多次试验,结果表明这两种方法在处理小样本采样数据时能够有效地提高数据精度.
|
| 关 键 词： | 提高精度 小样本 熵 线性均方 |
Using the Pretreatment Technology of Small Sampling Data for the Improvement of the Precision |
| |
| HUANG Rui; ZHANG Xin-qi.Using the Pretreatment Technology of Small Sampling Data for the Improvement of the Precision[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2009,12(3). |
| |
| Authors: | HUANG Rui; ZHANG Xin-qi |
| |
| Institution: | HUANG Rui; ZHANG Xin-qi (The Second Artillery Engineering College; Xi an 710025; China); |
| |
| Abstract: | A new method based on entropy judging method and the linear mean squares estimation is used to improve the precision of the data.The entropy distinguishing is based on the upper limit which is maximum error of the entropy;LMSE is a way to distinguish the gross errors of data by softening the gross errors.Many examples prove that the two methods are more effective when they are used to improve the precision of small sampling data. |
| |
| Keywords: | improvement precision small sample entropy linear mean square |
| 本文献已被 维普 万方数据 等数据库收录！ |
