[1]战金玉,吴 宁,魏永康.基于参数约简和免疫算法的飞行规则自动提取方法[J].南京师范大学学报(工程技术版),2013,13(04):070.
　Zhan Jinyu,Wu Ning,Wei Yongkang.An Approach for Automatic Extraction of Flight Rules Based on Parameter Reduction and Immune Algorithm[J].Journal of Nanjing Normal University(Engineering and Technology),2013,13(04):070.
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基于参数约简和免疫算法的飞行规则自动提取方法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
13卷
期数:
2013年04期
页码:
070
栏目:
出版日期:
2013-12-31

文章信息/Info

Title:
An Approach for Automatic Extraction of Flight Rules Based on Parameter Reduction and Immune Algorithm
作者:
战金玉; 吴 宁; 魏永康
南京航空航天大学电子信息工程学院,江苏 南京 210016
Author(s):
Zhan Jinyu; Wu Ning; Wei Yongkang
College of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
参数约简; 免疫算法; 规则提取
Keywords:
parameter reduction; immune algorithm; rule extraction
分类号:
TP301.6
文献标志码:
A
摘要:
模拟机自动评分系统对飞行员数据进行评分的时候需要量化飞行规则,针对规则量化困难的问题,提出了一种基于参数约简和免疫算法的飞行规则自动提取方法.用该方法对某航空公司提供的正常爬升科目的大量飞行数据进行了规则提取,将提取到的规则对正反例样本之外多个飞行数据进行判读,结果表明均未出现误判.与没有采用参数约简的方法相比,用该方法提取到的规则更简洁、更准确,对专家制定用于自动评分系统中量化的飞行规则具有很好的参考价值.
Abstract:
Automatic scoring system for the simulator requires quantitative flight rules when scoring the pilot data.Aimed at the problem that the rules are difficult to quantify,an approach is proposed for automatic extraction of flight rules based on parameter reduction and immune algorithm.The approach is used to extract the rule from the flight data of normal climb subject provided by airlines.We verify the rule by using some flight data except positive and negative cases samples,the results show no misjudgment.Compared with the approach without parameter reduction,rules extracted by using the approach proposed in this paper are more concise and more accurate and yield highly reference values for experts to develop quantitative flight rules for automatic scoring system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-09-25.
基金项目:国家自然科学基金(61376025)、江苏省产学研前瞻性联合研究项目(BY2013003-11).
通讯联系人:吴宁,教授,博士生导师,研究方向:数字系统理论与技术、电子系统集成与专用集成电路设计.E-mail:wunee@nuaa.edu.cn
更新日期/Last Update: 2013-12-30