[1]金炯华,杨垿,童宝义.动态数据系统的异常值智能处理[J].东南大学学报(自然科学版),1988,18(2):55-62.[doi:10.3969/j.issn.1001-0505.1988.02.007]
 Jin Jionghua Yang Xu Tong Baoyi (Dapartment of Mechanical Engineering).The Intelligent Processing of Abnormal Data in the Dynamic Data System[J].Journal of Southeast University (Natural Science Edition),1988,18(2):55-62.[doi:10.3969/j.issn.1001-0505.1988.02.007]
点击复制

动态数据系统的异常值智能处理()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
18
期数:
1988年第2期
页码:
55-62
栏目:
本刊信息
出版日期:
1988-03-20

文章信息/Info

Title:
The Intelligent Processing of Abnormal Data in the Dynamic Data System
作者:
金炯华杨垿童宝义
南京工学院机械工程系; 南京工学院机械工程系
Author(s):
Jin Jionghua Yang Xu Tong Baoyi (Dapartment of Mechanical Engineering)
关键词:
异常值 隶属度 贴近度
Keywords:
abnormal data attribution grade neighbor grade
分类号:
+
DOI:
10.3969/j.issn.1001-0505.1988.02.007
摘要:
异常值的智能处理在动态测试数据系统中显得无为重要。本文运用模糊数学中的隶属度与最优隶属原则、贴近度与择近原则将人脑的逻辑思维与物理先验知识加以数学抽象概括,提出了能实现异常值自动剔除的新方法。
Abstract:
It is more important to reject abnormal data intelligently in the dynamic data system This paper applies ambiguity mathematics,attribution grade and attribution optimum rule,neighbor grade and neighbor optimum rule to summa- rize mathematically the human logic thinking and practical experience.A new method of automatic rejection of abnormal data is presented in this paper.

相似文献/References:

[1]何永勇,贾民平,钟秉林,等.基于模糊关联度的旋转机械故障多参数诊断[J].东南大学学报(自然科学版),1995,25(5):73.[doi:10.3969/j.issn.1001-0505.1995.05.013]
 He Yongyong,Jia,Miriping,et al.Multi-parameter Fault Diagilosis Based on Fuzzy RelationalDegree for Rotating Machine[J].Journal of Southeast University (Natural Science Edition),1995,25(2):73.[doi:10.3969/j.issn.1001-0505.1995.05.013]

更新日期/Last Update: 2013-04-30