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Volumn 42, Issue 2, 2004, Pages 175-179

Comparison study of pattern-synthesis techniques using neural networks

Author keywords

Array synthesis; Neural networks; Wavelet neural networks

Indexed keywords

ACTIVATION ANALYSIS; ALGORITHMS; ELECTRIC EXCITATION; NEURAL NETWORKS; PARAMETER ESTIMATION; SYNTHESIS (CHEMICAL); WAVELET TRANSFORMS;

EID: 2942748337     PISSN: 08952477     EISSN: None     Source Type: Journal    
DOI: 10.1002/mop.20244     Document Type: Article
Times cited : (7)

References (13)
  • 1
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    • P.M. Woodward and J.P. Lawson, The theoretical precision with which an arbitrary radiation pattern may be obtained from a source of finite size, Proc IEEE 95 (1948), 120-126.
    • (1948) Proc IEEE , vol.95 , pp. 120-126
    • Woodward, P.M.1    Lawson, J.P.2
  • 3
    • 0035811942 scopus 로고    scopus 로고
    • A new approach to the Orchard-Elliott pattern synthesis algorithm using LMS and pseudoinverse techniques
    • R. Shavit and S. Levy, A new approach to the Orchard-Elliott pattern synthesis algorithm using LMS and pseudoinverse techniques, Microwave Opt Technol Lett 30 (2001), 12-15.
    • (2001) Microwave Opt Technol Lett , vol.30 , pp. 12-15
    • Shavit, R.1    Levy, S.2
  • 9
    • 0031098254 scopus 로고    scopus 로고
    • Using wavelet networks in nonparametric estimation
    • Q.H. Zhang, Using wavelet networks in nonparametric estimation, IEEE Trans Neural Networks 8 (1997), 227-236.
    • (1997) IEEE Trans Neural Networks , vol.8 , pp. 227-236
    • Zhang, Q.H.1
  • 10
    • 2942722319 scopus 로고
    • Wavelet networks: The radial structure and an efficient initialization procedure
    • Linköping University
    • Q. Zhang, Wavelet networks: The radial structure and an efficient initialization procedure, Tech Rpt LiTH-ISY-I-1423, Linko+ping University, 1992.
    • (1992) Tech Rpt , vol.LITH-ISY-I-1423
    • Zhang, Q.1
  • 11
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (1989), 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 12
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • G. Cybenko, Approximation by superpositions of a sigmoidal function, Math Control Signals Syst 2 (1989), 303-314.
    • (1989) Math Control Signals Syst , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 13
    • 0000106040 scopus 로고
    • Universal approximation using radial basis function networks
    • J. Park and I.W, Sandberg, Universal approximation using radial basis function networks, Neural Computat 3 (1991), 246-257.
    • (1991) Neural Computat , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.