[1]王丰.导弹武器系统参数性能指标的可拓数据挖掘[J].智能系统学报,2019,14(03):560-565.[doi:10.11992/tis.201801006]
 WANG Feng.Extension data mining of the performance of a missile weapon system based on its parameter index[J].CAAI Transactions on Intelligent Systems,2019,14(03):560-565.[doi:10.11992/tis.201801006]
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导弹武器系统参数性能指标的可拓数据挖掘(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第14卷
期数:
2019年03期
页码:
560-565
栏目:
出版日期:
2019-05-05

文章信息/Info

Title:
Extension data mining of the performance of a missile weapon system based on its parameter index
作者:
王丰
海军航空大学, 山东 烟台 264001
Author(s):
WANG Feng
Naval Aviation University, Yantai 264001, China
关键词:
可拓学数据挖掘可拓知识导弹武器系统评价特征
Keywords:
extenicsdata miningextension knowledgemissile weapon systemevaluation characteristics
分类号:
TJ760
DOI:
10.11992/tis.201801006
摘要:
为了挖掘导弹武器系统某些参数指标对其他指标及性能指标的影响规律和程度,创造性地将可拓数据挖掘理论引入到海军导弹武器系统性能的研究中,通过引入杀伤指数、探测指数和突防生存指数3个新的性能指数作为评价特征,研究改变导弹武器系统的结构设计及部件,使导弹武器系统的某些参数指标发生传导变换,运用挖掘正质变域和正量变域的可拓推理知识,对数据进行挖掘。通过对某型导弹的实验数据分析表明:基于工厂鉴定实验及设计定型实验中产生的大量实验数据,利用该理论,可以充分挖掘到有价值的知识。
Abstract:
The extension data mining theory is introduced for studying the performance of the naval missile weapon system to excavate the influence and degree of several parameters of the missile weapon system on performance and other indices. Three new performance indices, including the destruction index, detection index, and penetration and survival index, have been introduced and are considered as evaluation characteristics while investigating the structural design and for finding the parts that can transform the missile weapon system. Therefore, several indices of the missile weapon system are observed to experience conduction transformation. Furthermore, several missile parameters are mined using the extension reasoning knowledge that is obtained by mining the qualitative and quantitative domains. According to the test data obtained by conducting a naval coastal defense missile analysis, using a large number of test data and the test design of factory identification in the demonstration test helps to completely excavate the valuable knowledge.

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备注/Memo

备注/Memo:
收稿日期:2018-01-04。
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10余篇。
通讯作者:王丰.E-mail:1055478110@qq.com
更新日期/Last Update: 1900-01-01