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基于直觉模糊核匹配追踪的目标识别方法
引用本文:雷阳,雷英杰,周创明,孔韦韦. 基于直觉模糊核匹配追踪的目标识别方法[J]. 电子学报, 2011, 39(6): 1441-1446
作者姓名:雷阳  雷英杰  周创明  孔韦韦
作者单位:空军工程大学导弹学院计算机工程系,陕西三原,713800
摘    要:针对反导目标识别系统需对具有不同重要性的目标类别进行不同精度识别这一问题,提出一种基于直觉模糊核匹配追踪的目标识别方法.该方法利用核匹配追踪算法及平方间隔损失函数的优势设计了基于平方间隔损失函数的直觉模糊核匹配追踪学习机,并进一步扩展到任意非平方间隔损失函数,建立基于任意损失函数的直觉模糊核匹配追踪学习机.提出直觉模糊...

关 键 词:目标识别  核匹配追踪  直觉模糊集  损失函数
收稿时间:2010-07-12

Techniques for Target Recognition Based on Intuitionistic Fuzzy Kernel Matching Pursuit
LEI Yang,LEI Ying-jie,ZHOU Chuang-ming,KONG Wei-wei. Techniques for Target Recognition Based on Intuitionistic Fuzzy Kernel Matching Pursuit[J]. Acta Electronica Sinica, 2011, 39(6): 1441-1446
Authors:LEI Yang  LEI Ying-jie  ZHOU Chuang-ming  KONG Wei-wei
Affiliation:Department of Computer Engineering,Missile Institute,Air Force Engineering University,Sanyuan,Shaanxi 713800,China
Abstract:In order to classify the target samples of diverse importance much more precisely according to the predefined importance of samples in antimissile system,a technique for target recognition based on intuitionistic fuzzy kernel matching pursuit (IFKMP) is proposed.With the help of the advantages of kernel matching pursuit (KMP) and least-squares loss function,intuitionistic fuzzy kernel matching pursuit learning machine (IFKMPLM) is devised and built based on least-squares loss function,which is expanded to any non-squares loss function,following with IFKMPLM based on that build.Ascribing to transforming intuitionistic fuzzy parameter into a renewed form of intuitionistic fuzzy function,the algorithm for ascertaining intuitionistic fuzzy function is also presented,serving for the appointed important target samples possessing much more precise.An extensive experimental comparison among KMP,FKMP,and IFKMP performed on linear and homocentric circle samples,respectively,shows its superiority over others,moreover,the recognition results of the practical target samples prove the high efficiency of the proposed technique.
Keywords:target recognition  kernel matching pursuit  intuitionistic fuzzy sets  loss function
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