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Volumn 5, Issue , 2002, Pages 2152-2156

Time-series data prediction based on reconstruction of missing samples and selective ensembling of FIR neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FIR FILTERS; IMPULSE RESPONSE; INFORMATION SCIENCE; INTERPOLATION; MAXIMUM PRINCIPLE; TIME SERIES;

EID: 84971673169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1201873     Document Type: Conference Paper
Times cited : (13)

References (12)
  • 1
    • 0035472003 scopus 로고    scopus 로고
    • River Flow Times Series Prediction with a Range-dependent Neural Network
    • T.S. Hu, T.C. Lam and S.T. Ng, "River Flow Times Series Prediction with a Range-dependent Neural Network," Hydrological Sciences-Journal-des Hydrologiques, vol. 46, no. 5, pp. 729-745, 2001.
    • (2001) Hydrological Sciences-Journal-des Hydrologiques , vol.46 , Issue.5 , pp. 729-745
    • Hu, T.S.1    Lam, T.C.2    Ng, S.T.3
  • 2
    • 0035284320 scopus 로고    scopus 로고
    • Analysis of Incomplete Climate Data: Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values
    • T. Schneider, "Analysis of Incomplete Climate Data: Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values," Journal of Climate, vol. 14, pp. 853-887, 2001.
    • (2001) Journal of Climate , vol.14 , pp. 853-887
    • Schneider, T.1
  • 3
    • 0034428159 scopus 로고    scopus 로고
    • Neural Network Ensemble for Financial Trend Prediction
    • M. H. L. b. Abdullah and V. Ganapathy, "Neural Network Ensemble for Financial Trend Prediction," Proceedings TENCON 2000, vol. 3, pp. 157-161, 2000.
    • (2000) Proceedings TENCON 2000 , vol.3 , pp. 157-161
    • Abdullah, M.H.L.B.1    Ganapathy, V.2
  • 7
    • 0005977561 scopus 로고    scopus 로고
    • Using Unlabelled Data to Train a Multilayer Perception
    • ICAPR 2001
    • A. Verikas, A. Gelzinis, K. Malmqvist, and M. Bacauskiene, "Using Unlabelled Data to Train a Multilayer Perception," ICAPR 2001, LNCS 2013, pp. 40-49, 2001.
    • (2001) LNCS 2013 , pp. 40-49
    • Verikas, A.1    Gelzinis, A.2    Malmqvist, K.3    Bacauskiene, M.4
  • 8
    • 0030419741 scopus 로고    scopus 로고
    • Identification of Nonlinear Systems with Missing Data Using Stochastic Neural Network
    • Japan
    • M. Tanaka, "Identification of Nonlinear Systems with Missing Data Using Stochastic Neural Network," Proc. of the 35th Conf. On Decision and Control, Japan, pp. 933-934, 1996.
    • (1996) Proc. of the 35th Conf. on Decision and Control , pp. 933-934
    • Tanaka, M.1
  • 9
    • 0001551844 scopus 로고
    • Supervised Learning from Incomplete Data via an EM Approach
    • J. D. Coruan, G. Tesauso, and J. Alspector (Eds.)
    • Z. Ghahramani and M. Jordan, "Supervised Learning from Incomplete Data via an EM Approach," in Advanced in Neural Information Processing System, J. D. Coruan, G. Tesauso, and J. Alspector (Eds.), vol. 6, 1994.
    • (1994) Advanced in Neural Information Processing System , vol.6
    • Ghahramani, Z.1    Jordan, M.2
  • 10
    • 0002291616 scopus 로고
    • Neural Net Architectures for Temporal Sequence Processing
    • A.S. Weigend and N.A. Gershenfeld, (Eds.) Reading, MA: Addison-Wesley
    • M. C. Mozer, "Neural Net Architectures for Temporal Sequence Processing," in Time Series Prediction: Forecasting the Future and Understanding the Past, A.S. Weigend and N.A. Gershenfeld, (Eds.), vol. 15, pp. 243-264, Reading, MA: Addison-Wesley, 1993.
    • (1993) Time Series Prediction: Forecasting the Future and Understanding the Past , vol.15 , pp. 243-264
    • Mozer, M.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.