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Volumn 2, Issue , 2002, Pages 547-551

An evaluation of constructive algorithms for recurrent networks on multi-step-ahead prediction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; INFORMATION SCIENCE; RECURRENT NEURAL NETWORKS;

EID: 84964495026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1198116     Document Type: Conference Paper
Times cited : (7)

References (15)
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    • Takens, F.1
  • 3
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    • Prediction of Chaotic Time-Series Using Dynamic Cell Structures and Local Linear Models
    • L. Chudy, I. Farkas, "Prediction of Chaotic Time-Series Using Dynamic Cell Structures and Local Linear Models", Neural Network World, 8(5), pp. 481-489, 1998.
    • (1998) Neural Network World , vol.8 , Issue.5 , pp. 481-489
    • Chudy, L.1    Farkas, I.2
  • 4
    • 25644436685 scopus 로고    scopus 로고
    • Local Modeling Optimization for Time Series Prediction
    • Bruges, Belgium
    • J. McNames, "Local Modeling Optimization for Time Series Prediction", 8th European Symposium on Artificial Neural Networks, Bruges, Belgium, pp. 305-310, 2000.
    • (2000) 8th European Symposium on Artificial Neural Networks , pp. 305-310
    • McNames, J.1
  • 7
    • 0033097707 scopus 로고    scopus 로고
    • A comparison between neural-Network Forecasting Techniques - case Study: River Flow Forecasting
    • A.F. Atiya, S.I. Shaheen, "A comparison between neural-Network Forecasting Techniques - case Study: River Flow Forecasting", IEEE Transaction on Neural Networks, Vol. 10, pp. 402-409, 1999.
    • (1999) IEEE Transaction on Neural Networks , vol.10 , pp. 402-409
    • Atiya, A.F.1    Shaheen, S.I.2
  • 8
    • 0029357641 scopus 로고
    • Learning a Simple Recurrent Neural State Space Model to Behave Like Chua's Double Scroll
    • J.A.K. Suykens, J. Vandewalle, "Learning a Simple Recurrent Neural State Space Model to Behave Like Chua's Double Scroll", IEEE Transactions on Circuits and Systems-I, Vol. 42, pp. 499-502, 1995.
    • (1995) IEEE Transactions on Circuits and Systems-I , vol.42 , pp. 499-502
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 9
    • 0034269158 scopus 로고    scopus 로고
    • Multi-step-ahead Prediction Using Dynamic Recurrent Neural Networks
    • A.G. Parlos, O.T. Rais, A.F. Atiya, "Multi-step-ahead Prediction Using Dynamic Recurrent Neural Networks", Neural Networks, Vol. 13, pp. 765-786, 2000.
    • (2000) Neural Networks , vol.13 , pp. 765-786
    • Parlos, A.G.1    Rais, O.T.2    Atiya, A.F.3
  • 10
    • 0035259927 scopus 로고    scopus 로고
    • Improved Long-term Temperature Prediction by Chaining of Neural Networks
    • World Scientific Publishing Company
    • M. Duhoux, J. Suykens, B. de Moor, J. Vandewalle, "Improved Long-term Temperature Prediction by Chaining of Neural Networks", International Journal of Neural Systems, World Scientific Publishing Company, Vol. 11, pp. 1-10, 2001.
    • (2001) International Journal of Neural Systems , vol.11 , pp. 1-10
    • Duhoux, M.1    Suykens, J.2    De Moor, B.3    Vandewalle, J.4
  • 11
    • 10244273342 scopus 로고    scopus 로고
    • The Echo State" Approach to Analyzing and Training Recurrent Neural Networks
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    • H. Jaeger, "The "Echo State" Approach to Analyzing and Training Recurrent Neural Networks", GMD Report 148, GMD, Germany, 2001.
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    • Jaeger, H.1
  • 13
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    • Learning Long-Term Dependencies by the Selective Addition of Time-Delayed Connections to Recurrent Neural Networks
    • in press
    • R. Boné, M. Cruciami, J.-P. Asselin de Beauville, "Learning Long-Term Dependencies by the Selective Addition of Time-Delayed Connections to Recurrent Neural Networks", Neurocomputing, in press.
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  • 15
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    • Oscillations and chaos in physiological control systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.