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Volumn 27, Issue 8, 2012, Pages 209-214

Classification of power quality disturbances based on optimized least squares support vector machine

Author keywords

Cross validation; Feature vector; Power quality; SFLA; SVM

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; CROSS VALIDATION; FEATURE VECTORS; LEAST SQUARES SUPPORT VECTOR MACHINES; OPTIMAL CLASSIFIERS; POWER QUALITY DISTURBANCES; SFLA; SHUFFLED FROG LEAPING ALGORITHM (SFLA); SMALL TRAINING; SVM; SVM MODEL;

EID: 84867432437     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (12)
  • 1
    • 54049145002 scopus 로고    scopus 로고
    • Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM
    • Whei Min Lin, Chien Hsien Wu, Chia Hung Lin, et al. Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM[J]. IEEE Trans on Power Delivery, 2008, 23(4): 2575-2582.
    • (2008) IEEE Trans on Power Delivery , vol.23 , Issue.4 , pp. 2575-2582
    • Lin, W.M.1    Wu, C.H.2    Lin, C.H.3
  • 2
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support machines
    • Chapelle O, Vapnik V, Bousquet O, et al. Choosing multiple parameters for support machines[J]. Machine Learning, 2002, 46(3): 131-159.
    • (2002) Machine Learning , vol.46 , Issue.3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3
  • 3
    • 4944228528 scopus 로고    scopus 로고
    • A practical guide to support vector classification
    • University of National Taiwan, Department of Computer Science and Information Engineering
    • Hsu C W, Chang C C, Lin C J. A practical guide to support vector classification[R]. University of National Taiwan, Department of Computer Science and Information Engineering, 2003.
    • (2003)
    • Hsu, C.W.1    Chang, C.C.2    Lin, C.J.3
  • 4
    • 0042968651 scopus 로고    scopus 로고
    • Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model
    • Yan X F, Chen D Z, Hu S X. Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model[J]. Computers and Chemical Engineering, 2003, 27(12): 1393-1404.
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.12 , pp. 1393-1404
    • Yan, X.F.1    Chen, D.Z.2    Hu, S.X.3
  • 5
    • 34247266051 scopus 로고    scopus 로고
    • Particle swarm optimization-Based SVM application: Power transformers incipient fault syndrome diagnosis
    • Tsair Fwu Lee, Ming Yuan Cho, Chin Shiuh Shieh, et al. Particle swarm optimization-Based SVM application: power transformers incipient fault syndrome diagnosis[C]. International Conference on Hybrid Information Technology, 2006: 468-472.
    • (2006) International Conference on Hybrid Information Technology , pp. 468-472
    • Lee, T.F.1    Cho, M.Y.2    Shieh, C.S.3
  • 6
    • 52449115930 scopus 로고    scopus 로고
    • Power quality detection and discrimination in distributed power system based on wavelet transform
    • Pang Peilin, Ding Guangbin. Power quality detection and discrimination in distributed power system based on wavelet transform[C]. The 27th Control Conference, 2008: 635-638.
    • (2008) The 27th Control Conference , pp. 635-638
    • Pang, P.1    Ding, G.2
  • 7
    • 39149123501 scopus 로고    scopus 로고
    • Application of LS-SVM in classification of power quality disturbances
    • Zhang Quanming, Liu Huijin. Application of LS-SVM in classification of power quality disturbances[J]. Proceedings of the CSEE, 2008, 28(1): 106-110.
    • (2008) Proceedings of the CSEE , vol.28 , Issue.1 , pp. 106-110
    • Zhang, Q.1    Liu, H.2
  • 8
    • 57949099537 scopus 로고    scopus 로고
    • Application of SVD and LS-SVM in power quality disturbances classification
    • Li Tianyun, Chen Changlei, Zhou Bo, et al. Application of SVD and LS-SVM in power quality disturbances classification[J]. Proceedings of the CSEE, 2008, 28(34): 124-128.
    • (2008) Proceedings of the CSEE , vol.28 , Issue.34 , pp. 124-128
    • Li, T.1    Chen, C.2    Zhou, B.3
  • 9
    • 12144261566 scopus 로고    scopus 로고
    • Prediction with few observations based on optimized least squares support vector machines
    • Zhu Jiayuan, Yang Yun, Zhang Hengxi, et al. Prediction with few observations based on optimized least squares support vector machines[J]. Acta Aeronautica Et Astronautica Sinica, 2004, 25(6): 565-568.
    • (2004) Acta Aeronautica Et Astronautica Sinica , vol.25 , Issue.6 , pp. 565-568
    • Zhu, J.1    Yang, Y.2    Zhang, H.3
  • 12
    • 70449849467 scopus 로고    scopus 로고
    • Improved shuffled frog leaping algorithm for continuous optimization problem
    • Zhen Ziyang, Wang Daobo, Liu Yuanyuan. Improved shuffled frog leaping algorithm for continuous optimization problem[C]. IEEE Congress on Evolutionary Computation, 2009: 2992-2995.
    • (2009) IEEE Congress on Evolutionary Computation , pp. 2992-2995
    • Zhen, Z.1    Wang, D.2    Liu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.