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Volumn , Issue , 2006, Pages 402-407

Optimization of ANN applied to non-linear system identification

Author keywords

ANN; Arbitrary norms; Back propagation; Genetic algorithm; Hybrid optimization; System identification

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; DIESEL ENGINES; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; TIME VARYING SYSTEMS;

EID: 56149123682     PISSN: 10258973     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 1
    • 0025627940 scopus 로고
    • Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
    • Hornik, K., M. Stinchcombe and H. White. 1990. "Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks", Neural Networks, vol 3, pp.551-560.
    • (1990) Neural Networks , vol.3 , pp. 551-560
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 3
    • 84954943722 scopus 로고
    • Neural networks for nonlinear dynamic system modeling and identification
    • S. Chen, S. Billings, "Neural networks for nonlinear dynamic system modeling and identification", International Journal of Control, v.56, n.2, p. 319-346, 1992.
    • (1992) International Journal of Control , vol.56 , Issue.2 , pp. 319-346
    • Chen, S.1    Billings, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.