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Volumn 81, Issue 1, 1997, Pages 273-280

Recognizing changing seasonal patterns using artificial neural networks

Author keywords

Neural networks; Pattern recognition; Seasonality

Indexed keywords


EID: 0142239491     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-4076(97)00047-X     Document Type: Article
Times cited : (48)

References (11)
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    • Bierens, H.J.1
  • 3
    • 84953063700 scopus 로고
    • Are seasonal patterns constant over time? A test for seasonal stability
    • Canova, F. Hansen, B.E., 1995. Are seasonal patterns constant over time? A test for seasonal stability. Journal of Business and Economic Statistics 13, 237-252.
    • (1995) Journal of Business and Economic Statistics , vol.13 , pp. 237-252
    • Canova, F.1    Hansen, B.E.2
  • 4
    • 84979381846 scopus 로고
    • Periodically integrated subset autoregressions for Dutch industrial production and money stock
    • Franses, P.H., 1993. Periodically integrated subset autoregressions for Dutch industrial production and money stock. Journal of Forecasting 12, 601-613.
    • (1993) Journal of Forecasting , vol.12 , pp. 601-613
    • Franses, P.H.1
  • 5
    • 79955428196 scopus 로고
    • Recognizing changing seasonal patterns using artificial neural networks
    • Erasmus University Rotterdam
    • Franses, P.H., Draisma, G., 1995. Recognizing changing seasonal patterns using artificial neural networks. Econometric Institute Report 9514, Erasmus University Rotterdam.
    • (1995) Econometric Institute Report , vol.9514
    • Franses, P.H.1    Draisma, G.2
  • 6
    • 0024880831 scopus 로고
    • Multi-layer feed-forward networks are universal approximators
    • Hornik, K., Stinchcombe, M., White, H., 1989. Multi-layer feed-forward networks are universal approximators. Neural Networks 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 8
    • 84948516717 scopus 로고
    • Artificial neural networks: An econometric perspective
    • Kuan, C.M., White, H., 1994. Artificial neural networks: an econometric perspective. Econometric Reviews 13, 1-91.
    • (1994) Econometric Reviews , vol.13 , pp. 1-91
    • Kuan, C.M.1    White, H.2
  • 9
    • 43949168783 scopus 로고
    • Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests
    • Lee, T.-H., White, H., Granger, C.W.J., 1993. Testing for neglected nonlinearity in time series models: a comparison of neural network methods and alternative tests. Journal of Econometrics 56, 269-290.
    • (1993) Journal of Econometrics , vol.56 , pp. 269-290
    • Lee, T.-H.1    White, H.2    Granger, C.W.J.3
  • 10
    • 0000109068 scopus 로고
    • Testing the constancy of regression parameters against continuous structural change
    • Lin, C.F., Teräsvirta, T., 1994. Testing the constancy of regression parameters against continuous structural change. Journal of Econometrics 62, 211-228.
    • (1994) Journal of Econometrics , vol.62 , pp. 211-228
    • Lin, C.F.1    Teräsvirta, T.2
  • 11
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • Ripley, B.D., 1994. Neural networks and related methods for classification (with discussion). Journal of the Royal Statistical Society B 56, 409-456.
    • (1994) Journal of the Royal Statistical Society B , vol.56 , pp. 409-456
    • Ripley, B.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.