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Volumn 29, Issue 5, 2007, Pages 1031-1034

RBF-PLS approach based on genetic algorithm and its application in radar model recognition

Author keywords

Genetic algorithm; Partial least squares regression; Radar recognition; Radial basis function network

Indexed keywords

DATA FUSION; GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; PATTERN RECOGNITION; RADAR; SIGNAL PROCESSING;

EID: 34250327142     PISSN: 10095896     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (7)
  • 1
    • 34250306671 scopus 로고    scopus 로고
    • Chinese source
  • 2
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • Chen S, Cowan C F N, and Grant P M. Orthogonal least squares learning algorithm for radial basis function networks [J]. IEEE Trans. on Neural Networks, 1991, 2(2): 302-309.
    • (1991) IEEE Trans. on Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 3
    • 34250379851 scopus 로고    scopus 로고
    • Chinese source
  • 4
    • 34250348229 scopus 로고    scopus 로고
    • Chinese source
  • 5
    • 0030607269 scopus 로고    scopus 로고
    • The radial basis function-partial least squares approach as a flexible non-linear regression technique
    • Walczak B and Massart D L. The radial basis function-partial least squares approach as a flexible non-linear regression technique. Analytical Chimica Acta, 1996, 331(3): 177-185.
    • (1996) Analytical Chimica Acta , vol.331 , Issue.3 , pp. 177-185
    • Walczak, B.1    Massart, D.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.