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Volumn 5, Issue , 2008, Pages 1017-1019

Exchange rates forecasting with least squares support vector machine

Author keywords

Exchange rate; Forecast; Support vector machine; Time series

Indexed keywords

EXCHANGE RATES; FORECAST; FORECASTING MODELS; FOREIGN EXCHANGE MARKETS; GRID-SEARCH METHOD; LEAST SQUARES SUPPORT VECTOR MACHINES;

EID: 79951474960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.140     Document Type: Conference Paper
Times cited : (18)

References (7)
  • 1
    • 33749839773 scopus 로고    scopus 로고
    • I. Huseyin, B.T. Theodore, "A hybrid model for exchange rate prediction", Decision Support Systems, Vol. 42, pp.1054-1062, November 2006.
  • 2
    • 0000560787 scopus 로고    scopus 로고
    • F. R. Fernando, S. R. Simón, A.F. Julián, "Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS", International Journal of Forecasting, Vol. 15, pp.383-392, October 1999.
  • 3
    • 13544270843 scopus 로고    scopus 로고
    • Y. Lean, W. Shouyang, K.K. Lai, "A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates", Computers & Operations Research, Vol. 32, pp.2523-2541, October 2005.
  • 4
    • 34249306232 scopus 로고    scopus 로고
    • Yan-Qing Zhang, Xuhui Wan, "Statistical fuzzy interval neural networks for currency exchange rate time series prediction", Applied Soft Computing, Vol. 7, pp.1149-1156, August 2007.
  • 5
    • 79951479158 scopus 로고    scopus 로고
    • V. N. Vapnik, "The Nature of Statistical Learning Theory", New York: Springer-Verlag, 1995.
  • 6
    • 79951499578 scopus 로고    scopus 로고
    • J. K. Suykens,T. Gestel, "Least Squares Support Vector Machines", World Scientifics, Singapore, 2002.
  • 7
    • 0036825528 scopus 로고    scopus 로고
    • J. K. Suykens, J. Brabanter, L. Lukas, J. Vandewalle, "Weighted least squares support vector machines: robustness and sparse approximation", Neurocomputing, Vol. 48, pp. 85-105, October 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.