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Volumn , Issue , 2008, Pages 295-300

A method for time series prediction using a combination of linear models

Author keywords

[No Author keywords available]

Indexed keywords

BASED CLUSTERING; DIMENSIONAL VECTORS; LOCAL DYNAMIC MODEL; MULTI LAYER PERCEPTRON; NEW APPROACHES; SUPPORT VECTOR REGRESSION (SVR); TAPPED DELAY LINE; TIME SERIES PREDICTION;

EID: 70449441600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 4
  • 8
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. Moller. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6:525-533, 1993.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.1
  • 10
    • 35148885542 scopus 로고    scopus 로고
    • Last access: 2-11-2007
    • E.A. Wan. Time series data, 2005. http://www.cse.ogi.edu/ericwan/data.html, Last access: 2-11-2007.
    • (2005) Time Series Data
    • Wan, E.A.1
  • 11
    • 33749860092 scopus 로고    scopus 로고
    • Last access: 2-11-2007
    • P. Vlachos. Statlib-datasets archive, 2005. http://lib.stat.cmu.edu/datasets/, Last access: 2-11-2007.
    • (2005) Statlib-datasets Archive
    • Vlachos, P.1
  • 12
    • 0346250790 scopus 로고    scopus 로고
    • Practical selection of SVM parameters and noise estimation for SVM regression
    • V. Cherkassky and Y. Ma. Practical selection of SVM parameters and noise estimation for SVM regression. Neural Computation, 17:113-126, 2002.
    • (2002) Neural Computation , vol.17 , pp. 113-126
    • Cherkassky, V.1    Ma, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.