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Volumn 37, Issue 7, 2010, Pages 5430-5435

A fuzzy support vector regression model for business cycle predictions

Author keywords

Business cycle; Fuzzy set theory; Support vector regression

Indexed keywords

BUSINESS CYCLE; BUSINESS CYCLES; DECISION MAKERS; EMPIRICAL RESULTS; FORECASTING PERFORMANCE; FUZZY FORECASTING; FUZZY SUPPORT VECTOR REGRESSIONS; NUMERICAL EXAMPLE; SOURCES OF UNCERTAINTY; SUPPORT VECTOR REGRESSIONS; UNCERTAIN ENVIRONMENTS; UNCERTAIN FEATURES; UPPER AND LOWER BOUNDS;

EID: 77950189122     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.02.071     Document Type: Article
Times cited : (40)

References (31)
  • 1
    • 0042910507 scopus 로고    scopus 로고
    • A framework for measuring international business cycles
    • Banerji A., and Hiris L. A framework for measuring international business cycles. International Journal of Forecasting 17 (2001) 333-348
    • (2001) International Journal of Forecasting , vol.17 , pp. 333-348
    • Banerji, A.1    Hiris, L.2
  • 2
    • 35748960851 scopus 로고    scopus 로고
    • Extended support vector interval regression networks for interval input-output data
    • Chuang C.-C. Extended support vector interval regression networks for interval input-output data. Information Sciences 178 (2008) 871-891
    • (2008) Information Sciences , vol.178 , pp. 871-891
    • Chuang, C.-C.1
  • 4
    • 34249787299 scopus 로고    scopus 로고
    • Price forecast in the competitive electricity market by support vector machine
    • Gaoa C., Bompard E., Napoli R., and Cheng H. Price forecast in the competitive electricity market by support vector machine. Physica A 382 (2007) 98-113
    • (2007) Physica A , vol.382 , pp. 98-113
    • Gaoa, C.1    Bompard, E.2    Napoli, R.3    Cheng, H.4
  • 5
    • 42549092067 scopus 로고    scopus 로고
    • Fuzzy regression analysis by support vector learning approach
    • Hao P.-Y., and Chiang J.-H. Fuzzy regression analysis by support vector learning approach. IEEE Transactions on Fuzzy Systems 16 (2008) 428-441
    • (2008) IEEE Transactions on Fuzzy Systems , vol.16 , pp. 428-441
    • Hao, P.-Y.1    Chiang, J.-H.2
  • 6
    • 84945709501 scopus 로고
    • Outline for a logical theory of adaptive systems
    • Holland J.H. Outline for a logical theory of adaptive systems. Journal of the ACM 3 (1962) 297-314
    • (1962) Journal of the ACM , vol.3 , pp. 297-314
    • Holland, J.H.1
  • 8
    • 0042591514 scopus 로고    scopus 로고
    • Support vector fuzzy regression machines
    • Hong D.H., and Hwang C. Support vector fuzzy regression machines. Fuzzy Sets and Systems 138 (2003) 271-281
    • (2003) Fuzzy Sets and Systems , vol.138 , pp. 271-281
    • Hong, D.H.1    Hwang, C.2
  • 9
    • 33846428782 scopus 로고    scopus 로고
    • Potential assessment of the support vector regression technique in rainfall forecasting
    • Hong W.C., and Pai P.F. Potential assessment of the support vector regression technique in rainfall forecasting. Water Resources Management 21 (2007) 495-513
    • (2007) Water Resources Management , vol.21 , pp. 495-513
    • Hong, W.C.1    Pai, P.F.2
  • 10
    • 33750439450 scopus 로고    scopus 로고
    • A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts
    • Hua Z.S., and Zhang B. A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts. Applied Mathematics and Computation 181 (2006) 1035-1048
    • (2006) Applied Mathematics and Computation , vol.181 , pp. 1035-1048
    • Hua, Z.S.1    Zhang, B.2
  • 11
    • 13544267510 scopus 로고    scopus 로고
    • Forecasting stock market movement direction with support vector machine
    • Huang W., Nakamori Y., and Wang S.Y. Forecasting stock market movement direction with support vector machine. Computer and Operations Research 32 (2005) 2513-2522
    • (2005) Computer and Operations Research , vol.32 , pp. 2513-2522
    • Huang, W.1    Nakamori, Y.2    Wang, S.Y.3
  • 12
    • 0041589566 scopus 로고    scopus 로고
    • Support vector interval regression networks for interval regression analysis
    • Jeng J.-T., Chuang C.-C., and Su S.-F. Support vector interval regression networks for interval regression analysis. Fuzzy Set and Systems 138 (2003) 283-300
    • (2003) Fuzzy Set and Systems , vol.138 , pp. 283-300
    • Jeng, J.-T.1    Chuang, C.-C.2    Su, S.-F.3
  • 13
    • 0242351905 scopus 로고    scopus 로고
    • Financial time series forecasting using support vector machines
    • Kim K.J. Financial time series forecasting using support vector machines. Neurocomputing 55 (2003) 307-319
    • (2003) Neurocomputing , vol.55 , pp. 307-319
    • Kim, K.J.1
  • 14
    • 0030239878 scopus 로고    scopus 로고
    • Dating and predicting phase changes in the US business cycle
    • Layton A.P. Dating and predicting phase changes in the US business cycle. International Journal of Forecasting 12 (1996) 417-428
    • (1996) International Journal of Forecasting , vol.12 , pp. 417-428
    • Layton, A.P.1
  • 15
    • 0006091328 scopus 로고    scopus 로고
    • A further test of the influence of leading indicators on the probability of US business cycle phase shifts
    • Layton A.P. A further test of the influence of leading indicators on the probability of US business cycle phase shifts. International Journal of Forecasting 14 (1998) 63-70
    • (1998) International Journal of Forecasting , vol.14 , pp. 63-70
    • Layton, A.P.1
  • 17
    • 15544389367 scopus 로고    scopus 로고
    • Potential assessment of the "support vector machine" method in forecasting ambient air pollutant trends
    • Lu W.Z., and Wang W.J. Potential assessment of the "support vector machine" method in forecasting ambient air pollutant trends. Chemosphere 59 (2005) 693-701
    • (2005) Chemosphere , vol.59 , pp. 693-701
    • Lu, W.Z.1    Wang, W.J.2
  • 18
    • 0001500115 scopus 로고
    • Function of positive and negative type and their connection with the theory of integral equations
    • Mercer J. Function of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society A209 (1909) 415-446
    • (1909) Philosophical Transactions of the Royal Society , vol.A209 , pp. 415-446
    • Mercer, J.1
  • 20
    • 27744588529 scopus 로고    scopus 로고
    • An improved neural network model in forecasting tourist arrivals
    • Pai P.F., and Hong W.C. An improved neural network model in forecasting tourist arrivals. Annals of Tourism Research 32 (2005) 1138-1141
    • (2005) Annals of Tourism Research , vol.32 , pp. 1138-1141
    • Pai, P.F.1    Hong, W.C.2
  • 21
    • 34249285485 scopus 로고    scopus 로고
    • The timing and accuracy of leading and lagging business cycle indicators: A new approach
    • Seip K.L., and McNown R. The timing and accuracy of leading and lagging business cycle indicators: A new approach. International Journal of Forecasting 23 (2007) 277-287
    • (2007) International Journal of Forecasting , vol.23 , pp. 277-287
    • Seip, K.L.1    McNown, R.2
  • 23
    • 0036825901 scopus 로고    scopus 로고
    • Modified support vector machines in financial time series forecasting
    • Tay F.E.H., and Cao L. Modified support vector machines in financial time series forecasting. Neurcomputing 48 (2002) 847-861
    • (2002) Neurcomputing , vol.48 , pp. 847-861
    • Tay, F.E.H.1    Cao, L.2
  • 25
    • 84887252594 scopus 로고    scopus 로고
    • Support vector machine for function approximation regression estimation and signal processing
    • Vapnik V., Golowich S., and Smola A. Support vector machine for function approximation regression estimation and signal processing. Advances in Neural Information Processing Systems 9 (1996) 281-287
    • (1996) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.3
  • 26
    • 0037119256 scopus 로고    scopus 로고
    • A new approach to fuzzy regression models with application to business cycle analysis
    • Wu B., and Tseng N.-F. A new approach to fuzzy regression models with application to business cycle analysis. Fuzzy Set and Systems 130 (2002) 33-42
    • (2002) Fuzzy Set and Systems , vol.130 , pp. 33-42
    • Wu, B.1    Tseng, N.-F.2
  • 27
    • 34247580190 scopus 로고    scopus 로고
    • Support vector regression model predictive control on a HVAC plant
    • Xi X.C., Poo A.N., and Chou S.K. Support vector regression model predictive control on a HVAC plant. Control Engineering Practice 15 (2007) 897-908
    • (2007) Control Engineering Practice , vol.15 , pp. 897-908
    • Xi, X.C.1    Poo, A.N.2    Chou, S.K.3
  • 28
    • 27844475649 scopus 로고    scopus 로고
    • A search for leading sectors over the business cycle: The case of Korea
    • Yang J.-M., and Kim T.-W. A search for leading sectors over the business cycle: The case of Korea. Japan and the World Economy 17 (2005) 480-495
    • (2005) Japan and the World Economy , vol.17 , pp. 480-495
    • Yang, J.-M.1    Kim, T.-W.2
  • 29
    • 33751257781 scopus 로고    scopus 로고
    • Fuzzy regression based on asymmetric support vector machines
    • Yao C.C., and Yu P.T. Fuzzy regression based on asymmetric support vector machines. Applied Mathematics and Computation 182 (2006) 175-193
    • (2006) Applied Mathematics and Computation , vol.182 , pp. 175-193
    • Yao, C.C.1    Yu, P.T.2
  • 30
    • 33746916489 scopus 로고    scopus 로고
    • Support vector regression for real-time flood stage forecasting
    • Yu P.S., Chen S.T., and Chang I.F. Support vector regression for real-time flood stage forecasting. Journal of Hydrology 328 (2006) 704-716
    • (2006) Journal of Hydrology , vol.328 , pp. 704-716
    • Yu, P.S.1    Chen, S.T.2    Chang, I.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.