Algorithm research on wavelet support vector machine

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

Volumn 39, Issue 8, 2005, Pages 816-819

  Lin, Jipeng ^a   Liu, Junhua ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Chaos; Predictive ability; Support vector machine; Wavelet kernel

Indexed keywords

CHAOS THEORY; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; VECTORS; WAVELET TRANSFORMS;

GENERALIZATION ABILITY; PREDICTIVE ABILITY; SUPPORT VECTOR MACHINE (SVM); WAVELET KERNEL;

FINITE AUTOMATA;

EID: 24044463853     PISSN: 0253987X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Vapnik V. The nature of statistical learning theory [M]. New York: Springer-Verlag, 1995.
2. Strauss D J, Steidl G. Hybrid wavelet-support vector classification of waveforms [J]. Journal of Computational and Applied Mathematics, 2002, 56(148): 375-400.
3. Neuman J, Schorr C. Effectively finding the optimal wavelet for hybrid wavelet-large margin signal classification [R]. Technical Report, TR-03-005. Mannheim, Germany: University of Mannheim, 2003.