[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(3):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(3):560-565.[doi:10.11992/tis.201801006]
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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(3):560-565.[doi:10.11992/tis.201801006]
导弹武器系统参数性能指标的可拓数据挖掘
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第3期
页码:
560-565
栏目:
学术论文—智能系统
出版日期:
2019-05-05
- Title:
- Extension data mining of the performance of a missile weapon system based on its parameter index
- Keywords:
- extenics; data mining; extension knowledge; missile weapon system; evaluation characteristics
- 分类号:
- TJ760
- 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
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