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Volumn 5, Issue 2, 2006, Pages 353-357

Time series prediction based on support vector regression

Author keywords

Non sensitive loss ; Punishing coefficient c; Quadratic programming optimization; Support vector regression; Time series prediction

Indexed keywords

COMPUTATIONAL COMPLEXITY; INFORMATION TECHNOLOGY; OPTIMIZATION; QUADRATIC PROGRAMMING; REGRESSION ANALYSIS; VECTORS;

EID: 33745789381     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2006.353.357     Document Type: Article
Times cited : (7)

References (9)
  • 2
    • 0002343859 scopus 로고    scopus 로고
    • Introduction to statistical learning theory and support vector machines
    • Zhang, X.G., 2000. Introduction to statistical learning theory and support vector machines. Acta Automatica Sinica, 26: 32-42.
    • (2000) Acta Automatica Sinica , vol.26 , pp. 32-42
    • Zhang, X.G.1
  • 8
    • 0036856978 scopus 로고    scopus 로고
    • Robust support vector regression networks for function approximation with outliers
    • Chuang, C.C. and S.F. Su, 2002. Robust support vector regression networks for function approximation with outliers. IEEE Trans. Neural Networks, 13: 1322-1330.
    • (2002) IEEE Trans. Neural Networks , vol.13 , pp. 1322-1330
    • Chuang, C.C.1    Su, S.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.