[1]王丰,顾佼佼,林瑜.积累N次主动变换的传导知识挖掘[J].智能系统学报,2019,14(5):1035-1039.[doi:10.11992/tis.201804042]
WANG Feng,GU Jiaojiao,LIN Yu.Mining conducted knowledge by accumulating N active transformations[J].CAAI Transactions on Intelligent Systems,2019,14(5):1035-1039.[doi:10.11992/tis.201804042]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第5期
页码:
1035-1039
栏目:
学术论文—知识工程
出版日期:
2019-09-05
- Title:
-
Mining conducted knowledge by accumulating N active transformations
- 作者:
-
王丰, 顾佼佼, 林瑜
-
海军航空大学, 山东 烟台 264001
- Author(s):
-
WANG Feng, GU Jiaojiao, LIN Yu
-
The Naval Aviation University, Yantai 264001, China
-
- 关键词:
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可拓学; 可拓变换; 数据挖掘; 传导知识; 灵敏度; 武器系统定型; 信息元
- Keywords:
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extension; extension transformation; data mining; conduction knowledge; sensitivity; weapon system stereotype; information element
- 分类号:
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TJ760
- DOI:
-
10.11992/tis.201804042
- 摘要:
-
针对前N次可拓变换未引起与之相关的信息元发生传导变换,而N+1次主动变换才能引起与之相关的信息元发生传导变换的实际问题,运用可拓变换、传导效应等,并通过给出信息元某特征对于目标特征灵敏度的概念,深入挖掘此类可拓变换及其传导变换的传导知识。通过对某型导弹武器系统定型过程中的试验数据进行分析,表明该方法是对已有传导知识数据挖掘理论的完善和补充,使传导知识挖掘的理论更加丰富、全面。
- Abstract:
-
Considering the fact that the N extensive transformations do not cause conductive transformation of related information elements, and only N+1 active transformation can cause conductive transformation of related information element, in this study, extensive transformation and conduction effect are applied, and the conducted knowledge of such extensive transformations and conductive transformation is deeply mined by giving the concept of sensitivity of a certain feature of information elements related to target features. Through the test data analysis in the process of finalizing a missile weapon system, it is shown that this method is perfect and supplementary to the existing theory of data mining for conducted knowledge, and makes the theory of conducted knowledge mining more comprehensive.
备注/Memo
收稿日期:2018-04-23。
作者简介:王丰,男,1985年生,工程师,主要研究方向为系统仿真分析与计算机软件集成。发表学术论文20余篇;顾佼佼,男,1986年生,讲师,博士,主要研究方向为指控与火控。发表学术论文10余篇;林瑜,男,1979年生,工程师,主要研究方向为计算机软件及集成。发表学术论文10余篇。
通讯作者:王丰.E-mail:1055478110@qq.com
更新日期/Last Update:
1900-01-01