基于直觉模糊核匹配追踪集成的目标识别方法

doi:10.11959/j.issn.1000-436x.2015260

通信学报 ›› 2015, Vol. 36 ›› Issue (10): 165-171.doi: 10.11959/j.issn.1000-436x.2015260

基于直觉模糊核匹配追踪集成的目标识别方法

余晓东¹,雷英杰¹,宋亚飞¹,岳韶华¹,胡军红²

¹ 空军工程大学防空反导学院，陕西西安 710051
² 中国人民解放军 94936部队，浙江杭州 310021

出版日期:2015-10-25 发布日期:2015-10-27
基金资助:
国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目

Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition

Xiao-dong YU¹,Ying-jie LEI¹,Ya-fei SONG¹,Shao-hua YUE¹,Jun-hong HU²

¹ Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China
² Troop 94936,PLA,Hangzhou 310021,China

Online:2015-10-25 Published:2015-10-27
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要/Abstract

摘要：

针对现有直觉模糊核匹配追踪算法采用部分样本进行训练和停机策略而导致学习机泛化能力下降的缺陷，结合集成学习的思想，提出了一种基于直觉模糊核匹配追踪集成的目标识别方法。该算法通过采用样本扰动和参数扰动的二重扰动策略产生子学习机，并利用多数投票法对其识别结果进行融合，从而提高了集成学习机的分类精度和泛化性能。实验结果表明，与传统方法相比，该方法可获得更优的识别效果，有效提高了识别精度，并能避免采样学习带来的不稳定性。

关键词: 直觉模糊集, 核匹配追踪, 集成学习, 目标识别

Abstract:

Considering that the generalization of the learning machine performed poorly in the present intuitionistic fuzzy kernel matching pursuit algorithm(IFKMP)due to its training method and stopping criteria,a new recognition method based on intuitionistic fuzzy kernel matching pursuit ensemble(IFKMPE)was proposed by introducing the idea of ensemble learning.In IFKMPE,the double perturbation strategy including sample and parameter perturbation was applied to generate the sub-learning machine,the recognition results were fused by the principle of majority voting,and therefore both the classify accuracy and generation ability were enhanced.Simulation results show the new algorithm IFKMPE performs better in terms of recognition accuracy and stability of sample learning compared with the traditional ones.

Key words: intuitionistic fuzzy set, kernel matching pursuit, ensemble learning, target recognition

余晓东,雷英杰,宋亚飞,岳韶华,胡军红. 基于直觉模糊核匹配追踪集成的目标识别方法[J]. 通信学报, 2015, 36(10): 165-171.

Xiao-dong YU,Ying-jie LEI,Ya-fei SONG,Shao-hua YUE,Jun-hong HU. Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition[J]. Journal on Communications, 2015, 36(10): 165-171.

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参考文献 5

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算法	训练规模	测试规模	集成规模	训练时间/s	识别率/%	偏差/%
KMP			1	2.863	75.58	2.21
KMPE			15	42.946	78.69	0.79
IFKMP	400	+:500	1	4.443	93.24	2.17
Bagging-IFKMPE			15	68.199	1	0
ES-IFKMPE			15	65.692	1	0

算法	训练规模	测试规模	集成规模	训练时间/s	识别率/%	偏差/%
KMP	500		1	5.825	85.42	1.11
KMPE	500		25	109.26	89.59	0.69
IFKMP	500	+:500	1	6.474	93.36	1.02
Bagging-IFKMPE	200		15	31.994	97.72	0.34
ES-IFKMPE	200		15	31.238	97.50	0.38

算法	训练规模	测试规模	集成规模	训练时间/s	识别率/%	偏差/%
KMP	300		1	1.357 8	67.63	5.68
KMPE	300		5	6.236	70.59	1.36
IFKMP	300	+:150	1	1.421 1	92.77	6.06
Bagging-IFKMPE	60		5	0.630 2	96.04	2.21
ES-IFKMPE	60		5	0.644 5	97.32	0.89

基于直觉模糊核匹配追踪集成的目标识别方法

Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition

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