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Volumn 3686, Issue PART I, 2005, Pages 297-304

Configuration of neural networks for the analysis of seasonal time series

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FAST FOURIER TRANSFORMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PATTERN RECOGNITION; STATISTICAL METHODS; TIME SERIES ANALYSIS;

EID: 27244447484     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11551188_32     Document Type: Conference Paper
Times cited : (4)

References (19)
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    • Chapman & Hall, USA
    • Chatfield, C.: The Analysis of Time Series. Sixth edn. Texts in Statistical Science. Chapman & Hall, USA (2004)
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  • 3
    • 0004311217 scopus 로고
    • Time series analysis: Forecasting and control
    • Holden Day
    • Box, G., Jenkins, G.: Time Series Analysis: forecasting and control. Texts in Statistical Science. Holden Day (1970)
    • (1970) Texts in Statistical Science
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  • 4
    • 0039988139 scopus 로고    scopus 로고
    • Time series forecasting with neural networks: A comparative study using the airline data
    • Faraway, J., Chatfield, C.: Time series forecasting with neural networks: A comparative study using the airline data. Applied Statistics 47 (1998) 231-250
    • (1998) Applied Statistics , vol.47 , pp. 231-250
    • Faraway, J.1    Chatfield, C.2
  • 5
    • 0037243071 scopus 로고    scopus 로고
    • Time series forecasting using a hybrid ARIMA and neural network model
    • Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50 (2003) 159-175
    • (2003) Neurocomputing , vol.50 , pp. 159-175
    • Zhang, G.P.1
  • 6
    • 0003299258 scopus 로고
    • An introduction to bispectral analysis and bilinear time series models
    • Rao, T.S., Sabr, M.M.: An introduction to bispectral analysis and bilinear time series models. Lecture Notes in Statistics 24 (1984)
    • (1984) Lecture Notes in Statistics , vol.24
    • Rao, T.S.1    Sabr, M.M.2
  • 10
    • 15244348550 scopus 로고    scopus 로고
    • Pre-processing inputs for optimally-configured time-delay neural networks
    • Taskaya-Temizel, T., Casey, M.C., Ahmad, K.: Pre-processing inputs for optimally-configured time-delay neural networks. IEE Electronic Letters 41 (2005) 198-200
    • (2005) IEE Electronic Letters , vol.41 , pp. 198-200
    • Taskaya-Temizel, T.1    Casey, M.C.2    Ahmad, K.3
  • 12
    • 4344591889 scopus 로고    scopus 로고
    • Neural network forecasting for seasonal and trend time series
    • Zhang, G.P., Qi, M.: Neural network forecasting for seasonal and trend time series. European Journal of Operational Research 160 (2005) 501-514
    • (2005) European Journal of Operational Research , vol.160 , pp. 501-514
    • Zhang, G.P.1    Qi, M.2
  • 14
    • 0000133998 scopus 로고    scopus 로고
    • An analysis of transformations
    • Box, G.E.P., Cox, D.R.: An analysis of transformations. JRSS B 26 (1996) 211-246
    • (1996) JRSS B , vol.26 , pp. 211-246
    • Box, G.E.P.1    Cox, D.R.2
  • 16
    • 0000902316 scopus 로고    scopus 로고
    • Time series forecasting using neural networks: Should the data be deseasonalized first?
    • Nelson, M., Hill, T., Remus, W., O'Connor, M.: Time series forecasting using neural networks: Should the data be deseasonalized first? Journal of Forecasting 18 (1999) 359-367
    • (1999) Journal of Forecasting , vol.18 , pp. 359-367
    • Nelson, M.1    Hill, T.2    Remus, W.3    O'Connor, M.4
  • 18
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    • Last accessed: Jan.2005
    • Federal Reserve Time Serial Data. http://www.federalreserve.gov/releases/ G17/table1_2.htm (2005) Last accessed: Jan.2005.
    • (2005) Federal Reserve Time Serial Data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.