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Volumn 5, Issue , 2004, Pages 3068-3072

Encoding a priori information in neural networks to improve its modeling performance under non-stationary environment

Author keywords

Modeling; Neural network; Non stationary environment; TSEKF

Indexed keywords

COMPUTER SIMULATION; ESTIMATION; GREEN'S FUNCTION; INFORMATION ANALYSIS; KALMAN FILTERING; MATRIX ALGEBRA; RANDOM PROCESSES; TIME SERIES ANALYSIS;

EID: 6344221942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (9)
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    • (1992) IEEE Transactions on Signal Processing , vol.4 , Issue.4 , pp. 959-966
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  • 4
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    • Narendra, K.S.1    Parthasarathy, K.2
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    • Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks
    • G. V. Puskorius, and L. A. Feldkamp, "Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks", IEEE Transactions on Neural Networks, Vol 5, No.2, pp.279-297, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 279-297
    • Puskorius, G.V.1    Feldkamp, L.A.2
  • 7
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    • Optimal filtering algorithm for fast learning in feedforward neural networks
    • S. Shah, F. Palmieri, and M. Datum, "Optimal filtering algorithm for fast learning in feedforward neural networks", Neural Networks, Vol 5, No.5, pp.779-787, 1992.
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  • 8
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    • Training multilayer perceptrons with the extended Kalman algorithm
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  • 9
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    • J. Sum, C. S. Leung, G. H. Young, and W. K. Kan, "An adaptive bayesian pruning for neural networks in a non-stationary environment", Neural Computation, Vol 11, pp.965-979, 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.