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Volumn , Issue , 2007, Pages 58-65

Evolution strategies based particle filters for fault detection

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; STATE SPACE METHODS; STOCHASTIC MODELS;

EID: 34548785714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIISP.2007.369294     Document Type: Conference Paper
Times cited : (15)

References (24)
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    • Process fault detection based on modelling, and estimation methods -A survey
    • R. Isermann, "Process fault detection based on modelling, and estimation methods -A survey," Automatica, vol. 20, pp. 387-404, 1984.
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    • Isermann, R.1
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    • 84950943564 scopus 로고
    • Sequential imputations and Bayesian missing data problems
    • A. Kong, J. S. Liu and W.H. Wong, "Sequential imputations and Bayesian missing data problems," J. of American Statistical Association, vol. 89, pp. 278-288, 1994.
    • (1994) J. of American Statistical Association , vol.89 , pp. 278-288
    • Kong, A.1    Liu, J.S.2    Wong, W.H.3
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    • Sequential Monte Carlo Methods for Dynamic Systems
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    • Using the SIR algorithm to simulate posterior distribution
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  • 24
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.