Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition

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...

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Main Authors: Xiao-dong YU, Ying-jie LEI, Ya-fei SONG, Shao-hua YUE, Jun-hong HU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-10-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015260/
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author Xiao-dong YU
Ying-jie LEI
Ya-fei SONG
Shao-hua YUE
Jun-hong HU
author_facet Xiao-dong YU
Ying-jie LEI
Ya-fei SONG
Shao-hua YUE
Jun-hong HU
author_sort Xiao-dong YU
collection DOAJ
description 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.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2015-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-c386da92aca74039b3dfc7ecadcb38ec2025-01-14T06:53:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-10-013616517159696475Intuitionistic fuzzy kernel matching pursuit ensemble based target recognitionXiao-dong YUYing-jie LEIYa-fei SONGShao-hua YUEJun-hong HUConsidering 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015260/intuitionistic fuzzy setkernel matching pursuitensemble learningtarget recognition
spellingShingle Xiao-dong YU
Ying-jie LEI
Ya-fei SONG
Shao-hua YUE
Jun-hong HU
Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
Tongxin xuebao
intuitionistic fuzzy set
kernel matching pursuit
ensemble learning
target recognition
title Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
title_full Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
title_fullStr Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
title_full_unstemmed Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
title_short Intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
title_sort intuitionistic fuzzy kernel matching pursuit ensemble based target recognition
topic intuitionistic fuzzy set
kernel matching pursuit
ensemble learning
target recognition
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015260/
work_keys_str_mv AT xiaodongyu intuitionisticfuzzykernelmatchingpursuitensemblebasedtargetrecognition
AT yingjielei intuitionisticfuzzykernelmatchingpursuitensemblebasedtargetrecognition
AT yafeisong intuitionisticfuzzykernelmatchingpursuitensemblebasedtargetrecognition
AT shaohuayue intuitionisticfuzzykernelmatchingpursuitensemblebasedtargetrecognition
AT junhonghu intuitionisticfuzzykernelmatchingpursuitensemblebasedtargetrecognition