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Volumn 22, Issue 2, 2005, Pages 269-272

Evolutionary particle filter and its application

Author keywords

Evolutionary programming; Particle filter; Samples impoverishment; State estimation

Indexed keywords

EVOLUTIONARY PROGRAMMING; FILTERING ALGORITHMS; PARTICLE FILTERS; SAMPLE SETS; SAMPLES IMPOVERISHMENT;

EID: 19644391593     PISSN: 10008152     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (11)
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  • 3
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    • Following a moving target-Monte Carlo inference for dynamic Bayesian models
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  • 7
    • 1542427941 scopus 로고    scopus 로고
    • Filtering via simulation: Auxiliary particle filters
    • PITT M, SHEPHARD N. Filtering via simulation: Auxiliary particle filters[J]. J of the American Statistical Association, 1999, 94(446): 590-599.
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    • Pitt, M.1    Shephard, N.2
  • 8
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    • Monte Carlo filtering using genetic algorithm operators
    • HIGUCHI T. Monte Carlo filtering using genetic algorithm operators[J]. J of Statistical Computation and Simulation, 1997, 59(1): 1-23.
    • (1997) J of Statistical Computation and Simulation , vol.59 , Issue.1 , pp. 1-23
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  • 9
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • GORDON N, SALMOND D, SMITH A F M. Novel approach to nonlinear/non-Gaussian Bayesian state estimation[J]. IEEE proceedings-F, 1993, 140(2): 107-113.
    • (1993) IEEE proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.F.M.3
  • 10
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    • A survey of convergence results on particle filtering methods for practitioners
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    • Rao-Blackwellisation of sampling schemes
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.