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Volumn 1, Issue , 2002, Pages 531-536

Sequential training of bootstrap aggregated neural networks for nonlinear systems modelling

Author keywords

Bootstrap aggregated neural networks; Generalisation; Neural networks; Nonlinear systems modelling

Indexed keywords

COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION;

EID: 0036057856     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (21)
  • 1
    • 0000588294 scopus 로고
    • Improving the generalisation properties of radial basis function neural networks
    • (1991) Neural Computation , vol.13 , pp. 579-588
    • Bishop, C.1
  • 2
    • 0004041002 scopus 로고
    • Stacked regressions
    • Technical Report No. 367, Department of statistics, University of California at Berkeley, USA
    • (1992)
    • Breiman, L.1
  • 19
    • 0032928495 scopus 로고    scopus 로고
    • Developing robust non-linear models through bootstrap aggregated neural networks
    • (1999) Neurocomputing , vol.25 , pp. 93-113
    • Zhang, J.1
  • 21
    • 0035165656 scopus 로고    scopus 로고
    • Developing robust neural network models by using both dynamic and static process operating data
    • (2001) Ind. Eng. Chem. Res. , vol.40 , Issue.1 , pp. 234-241
    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.