Analysis of Classify Remote Sensing Images Based on Artificial Bee Colony Algorithm

被引:0
|
作者
Chen, Jing [1 ]
Huang, Hongmei [1 ]
Wang, Xiaoxuan [1 ]
Wu, Yujing [1 ]
机构
[1] Gangdong Univ Technol, Huali Coll, Gangzhou, Zengcheng, Peoples R China
来源
2018 4TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND INFORMATION TECHNOLOGY (ICEMIT 2018) | 2018年
关键词
artificial bee colony; bio-inspired computing; remote sensing; classification; feature selection; multiple classifier system;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposed the feature selection and optimization of support vector machine parameters based on artificial bee colony algorithm. The goal of algorithm is to improve the classification rate and reduce the number of features. The proposed algorithm is validated on the UCI database. The result show that the proposed algorithm has the ability of feature selection and it can improve the classification rate obviously. Compared with other algorithms, the proposed algorithm is more efficient in feature selection and classification.
引用
收藏
页码:1292 / 1296
页数:5
相关论文
共 50 条
  • [21] An improved artificial bee colony algorithm: particle bee colony
    Wang J.-C.
    Li Q.
    Cui J.-R.
    Zuo W.-X.
    Zhao Y.-F.
    Li, Qing (liqing@ies.ustb.edu.cn), 2018, Science Press (40): : 871 - 881
  • [22] Performance Analysis of Artificial Bee Colony Optimization Algorithm
    Bejinariu, Silviu-Ioan
    Costin, Hariton
    Rotaru, Florin
    Luca, Ramona
    Nita, Cristina Diana
    2017 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS), 2017,
  • [23] Stability analysis of Artificial Bee Colony optimization algorithm
    Bansal, Jagdish Chand
    Gopal, Anshul
    Nagar, Atulya K.
    SWARM AND EVOLUTIONARY COMPUTATION, 2018, 41 : 9 - 19
  • [24] Empirical Analysis of Artificial Bee Colony Algorithm Parameters
    Bajer, Drazen
    Zoric, Bruno
    Martinovic, Goran
    2018 INTERNATIONAL CONFERENCE ON SMART SYSTEMS AND TECHNOLOGIES (SST), 2018, : 109 - 116
  • [25] Artificial Bee Colony Algorithm with Principal Component Analysis
    Mori, Daisuke
    Yamaguchi, Satoshi
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2016, 99 (09) : 47 - 61
  • [26] Analysis of Population Size in Artificial Bee Colony Algorithm
    Li, Xianneng
    Yang, Meihua
    Yang, Huiyan
    Wu, Shizhe
    Yang, Guangfei
    Han, Min
    Kanae, Shunshoku
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 3637 - 3640
  • [27] A Multiobjective Artificial Bee Colony Algorithm based on Decomposition
    Peng, Guang
    Shang, Zhihao
    Wolter, Katinka
    IJCCI: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, 2019, : 188 - 195
  • [28] Archimedean spiral based artificial bee colony algorithm
    Sharma, Sonal
    Kumar, Sandeep
    Sharma, Kavita
    JOURNAL OF STATISTICS AND MANAGEMENT SYSTEMS, 2019, 22 (07) : 1301 - 1313
  • [29] Artificial Bee Colony Algorithm for Automatic Leukocytes Segmentation in Histopathological Images
    Sharma, Harish
    Arya, K. V.
    Saraswat, Mukesh
    2014 9TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2014, : 7 - 12
  • [30] Vector quantization based on the artificial bee colony algorithm
    Horng, Ming Huwi
    Jiang, Ting Wei
    ICIC Express Letters, 2011, 5 (8 B): : 2881 - 2887