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Volumn , Issue , 2010, Pages 688-693

Research of end effects in Hilbert-Huang transform based on Genetic Algorithm and Support Vector Machine

Author keywords

Genetic algorithm; Hilbert huang transform; Neural network; Support vector machin

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; END EFFECTS; HILBERT HUANG TRANSFORMS; HILBERT SPECTRUM; HILBERT TRANSFORM; HILBERT-HUANG TRANSFORM; INTRINSIC MODE FUNCTIONS; KERNEL PARAMETER; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI-OBJECTIVE ALLOCATION; PREDICTION METHODS; RBF NEURAL NETWORK; SIMULATION RESULT; SUPPORT VECTOR MACHIN;

EID: 77957588636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIS.2010.5534687     Document Type: Conference Paper
Times cited : (1)

References (17)
  • 1
    • 5444236478 scopus 로고    scopus 로고
    • The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]
    • N. E. Huang, Z. Shen, S. R. Long, etc. The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proe. R. Soc. Lond. A, 1998, (454): 903-995.
    • (1998) Proe. R. Soc. Lond. A , Issue.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3    Etc4
  • 2
    • 33744770351 scopus 로고    scopus 로고
    • Study on the method of restraining the ending effect of empirical mode decomposition [J]
    • B. J. Xu, J. M. Zhang, X. L. Xu, etc. Study on the method of restraining the ending effect of empirical mode decomposition [J]. Transaction of Beijing Institute of Technology, 2006, 26 (3): 196-200.
    • (2006) Transaction of Beijing Institute of Technology , vol.26 , Issue.3 , pp. 196-200
    • Xu, B.J.1    Zhang, J.M.2    Xu, X.L.3
  • 3
    • 19944416567 scopus 로고    scopus 로고
    • Dynamic response of the Trinity River Relief Bridge to controlled pile damage: Modeling and experimental data analysis comparing Fourier and Hilbert-Huang techniques [J]
    • R. R. Zhang, R. King, L. Olson, etc. Dynamic response of the Trinity River Relief Bridge to controlled pile damage: modeling and experimental data analysis comparing Fourier and Hilbert-Huang techniques [J]. Journal of Sound and Vibration, 2005, 285: 1049-1070.
    • (2005) Journal of Sound and Vibration , vol.285 , pp. 1049-1070
    • Zhang, R.R.1    King, R.2    Olson, L.3
  • 4
    • 20444484584 scopus 로고    scopus 로고
    • An improved Hilbert-Huang transform and its application in vibration signal analysis [J]
    • Z. K. Peng, P. W. Tse, F. L. Chu. An improved Hilbert-Huang transform and its application in vibration signal analysis [J]. Journal of sound and vibration, 2005, 286: 187-205.
    • (2005) Journal of Sound and Vibration , vol.286 , pp. 187-205
    • Peng, Z.K.1    Tse, P.W.2    Chu, F.L.3
  • 5
    • 7244251839 scopus 로고    scopus 로고
    • Identification of the components of wave spectra by the Hilbert-Huang transform method [J]
    • A. D. Veltcheva, C. G. . Soares. Identification of the components of wave spectra by the Hilbert-Huang transform method [J]. Applied Ocean Research, 2004, 26: 1-12.
    • (2004) Applied Ocean Research , vol.26 , pp. 1-12
    • Veltcheva, A.D.1    Soares, C.G.2
  • 6
    • 33845404811 scopus 로고    scopus 로고
    • Analysis on end effects of EMD method [J]
    • Z. Chen, S. X. Zheng. Analysis on End Effects of EMD Method [J]. Data acquisition & Processing, 2003, 18(1): 114-118.
    • (2003) Data Acquisition & Processing , vol.18 , Issue.1 , pp. 114-118
    • Chen, Z.1    Zheng, S.X.2
  • 7
    • 45849135179 scopus 로고    scopus 로고
    • A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure [J]
    • J. Xun, S. Yan. A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure [J]. Mechanical Systems and Signal Processing, 2008, 22(7): 1705-1723.
    • (2008) Mechanical Systems and Signal Processing , vol.22 , Issue.7 , pp. 1705-1723
    • Xun, J.1    Yan, S.2
  • 8
    • 33744965820 scopus 로고    scopus 로고
    • Process method for end effects of Hilbert-Huang Transform based on surport vector machines [J]
    • J. S. Cheng, D. J. Yu, Y. Yang. Process method for end effects of Hilbert-Huang Transform based on surport vector machines [J]. Mechanical engineering, 2006, 42(4): 23-31.
    • (2006) Mechanical Engineering , vol.42 , Issue.4 , pp. 23-31
    • Cheng, J.S.1    Yu, D.J.2    Yang, Y.3
  • 9
    • 77957551686 scopus 로고    scopus 로고
    • Dealing with the end effect of Hilbert-Huang transform based on GA LSSVM prediction [J]
    • Q. J. Hou, H. L. Wang. Dealing with the End Effect of Hilbert-Huang Transform Based on GA LSSVM Prediction [J] . Noise and vibration control, 2008, 28(6): 52-56.
    • (2008) Noise and Vibration Control , vol.28 , Issue.6 , pp. 52-56
    • Hou, Q.J.1    Wang, H.L.2
  • 10
    • 53849109554 scopus 로고    scopus 로고
    • A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system
    • K. Polat, S. Günes. A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system. Expert Systems with Applications, 2009, 36(1): 57-64.
    • (2009) Expert Systems with Applications , vol.36 , Issue.1 , pp. 57-64
    • Polat, K.1    Günes, S.2
  • 11
    • 34047266673 scopus 로고    scopus 로고
    • Text classification: A least square support vector machine approach [J]
    • V. Mitra, C. J. Wang, S. Banerjee. Text classification: a least square support vector machine approach [J], Appl. Soft Comput. 2007, 7: 908-914.
    • (2007) Appl. Soft Comput. , vol.7 , pp. 908-914
    • Mitra, V.1    Wang, C.J.2    Banerjee, S.3
  • 12
    • 34247278767 scopus 로고    scopus 로고
    • Pattern detection of atherosclerosis from carotid artery doppler signals using fuzzy weighted pre-processing and least square support vector machine (LS-SVM) [J]
    • K. Polat, S. Kara, F. Latifoglu, etc. Pattern detection of atherosclerosis from carotid artery doppler signals using fuzzy weighted pre-processing and least square support vector machine (LS-SVM) [J]. Ann. Biomed. Eng. 2007, 35 (5): 724-732.
    • (2007) Ann. Biomed. Eng. , vol.35 , Issue.5 , pp. 724-732
    • Polat, K.1    Kara, S.2    Latifoglu, F.3
  • 13
    • 36448969399 scopus 로고    scopus 로고
    • Prediction of mitochondrial proteins based on genetic algorithm-partial least squares and support vector machine [J]
    • F. Tan, X. Feng, Z. Fang, etc. Prediction of mitochondrial proteins based on genetic algorithm-partial least squares and support vector machine [J] . Amino Acids 2007, 33(11): 669-675.
    • (2007) Amino Acids , vol.33 , Issue.11 , pp. 669-675
    • Tan, F.1    Feng, X.2    Fang, Z.3
  • 14
    • 34248590967 scopus 로고    scopus 로고
    • Quantitative structure-activity relationship study of acylureas as inhibitors of human liver glycogen phosphorylase using least squares support vector machines [J]
    • J. H. Li, H. X. Liu, X. J. Yao, etc. Quantitative structure-activity relationship study of acylureas as inhibitors of human liver glycogen phosphorylase using least squares support vector machines [J]. Chemometrics Intell. Lab. Syst. 2007, 87: 139-146.
    • (2007) Chemometrics Intell. Lab. Syst. , vol.87 , pp. 139-146
    • Li, J.H.1    Liu, H.X.2    Yao, X.J.3
  • 15
    • 34347231909 scopus 로고    scopus 로고
    • Gradient algorithm for selecting hyper parameters of LSSVM in process modeling [J]
    • S. H. Tao, D. Z. Chen, W. M. Hu.Gradient algorithm for selecting hyper parameters of LSSVM in process modeling [J]. Chemical industry and engineering, 2007, 58(6): 1514-1517.
    • (2007) Chemical Industry and Engineering , vol.58 , Issue.6 , pp. 1514-1517
    • Tao, S.H.1    Chen, D.Z.2    Hu, W.M.3
  • 16
    • 63349110410 scopus 로고    scopus 로고
    • Parameters selection of support vector regression based on genetic algorithm [J]
    • L. M. Li, G. R. Wen, S. C. Wang. Parameters selection of support vector regression based on genetic algorithm [J]. Computer engineering and applications, 2008, 44(7): 23-26.
    • (2008) Computer Engineering and Applications , vol.44 , Issue.7 , pp. 23-26
    • Li, L.M.1    Wen, G.R.2    Wang, S.C.3
  • 17
    • 70350728913 scopus 로고    scopus 로고
    • Optimal design of cognitive radio wireless parameters based on non-dominated neighbor distribution genetic algorithm. Computer and information science
    • J. H. Ma, H. Jiang, Y. Hu, etc. Optimal Design of Cognitive Radio Wireless Parameters based on Non-dominated Neighbor Distribution Genetic Algorithm. Computer and Information Science, 2009. ICIS. 2009. Eighth IEEE/ACIS International Conference. P: 97-101.
    • (2009) ICIS. 2009. Eighth IEEE/ACIS International Conference , pp. 97-101
    • Ma, J.H.1    Jiang, H.2    Hu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.