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Volumn 42, Issue 1-9, 2004, Pages 361-365

Ultrasonic flaw detection using radial basis function networks (RBFNs)

Author keywords

Flaw detection; Neural network; RBFN; Thresholding

Indexed keywords

ATTENUATION; CLUTTER (INFORMATION THEORY); GRAIN BOUNDARIES; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME DOMAIN ANALYSIS; TRANSFER FUNCTIONS;

EID: 1642632807     PISSN: 0041624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultras.2003.11.018     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
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    • Studies of split spectrum processing, optimal detection, and maximum likelihood amplitude estimation using a simple clutter model
    • Gustaffson M.G., Stepinski T. Studies of split spectrum processing, optimal detection, and maximum likelihood amplitude estimation using a simple clutter model. Elsevier Ultrason. 35:1997;31.
    • (1997) Elsevier Ultrason. , vol.35 , pp. 31
    • Gustaffson, M.G.1    Stepinski, T.2
  • 2
    • 0026866411 scopus 로고
    • Maximum-likelihood estimation for A -scan imaging of coherent targets in media of unresolvable scatterers
    • Donohue K.D. Maximum-likelihood estimation for. A -scan imaging of coherent targets in media of unresolvable scatterers IEEE Trans. UFFC. 39(3):1992;442.
    • (1992) IEEE Trans. UFFC , vol.39 , Issue.3 , pp. 442
    • Donohue, K.D.1
  • 3
    • 48149087243 scopus 로고
    • Statistical evaluation of backscattered ultrasonic grain signals
    • Sanije J., Wang T. Statistical evaluation of backscattered ultrasonic grain signals. J. Acoust. Soc. Am. 84(1):1988;400-408.
    • (1988) J. Acoust. Soc. Am. , vol.84 , Issue.1 , pp. 400-408
    • Sanije, J.1    Wang, T.2
  • 5
    • 0020335855 scopus 로고
    • The scattering of ultrasonic waves by polycrystals
    • Hirsekorn S. The scattering of ultrasonic waves by polycrystals. J. Acoust. Soc. Am. 72(3):1982;1021-1031.
    • (1982) J. Acoust. Soc. Am. , vol.72 , Issue.3 , pp. 1021-1031
    • Hirsekorn, S.1
  • 6
    • 0033880972 scopus 로고    scopus 로고
    • Quantitative non-destructive evaluation
    • Achenbach J.D. Quantitative non-destructive evaluation. Int. J. Solids Struct. 37:2000;13-27.
    • (2000) Int. J. Solids Struct. , vol.37 , pp. 13-27
    • Achenbach, J.D.1
  • 8
    • 0035015680 scopus 로고    scopus 로고
    • Three learning phases for radial-basis-function networks
    • Schwenker F., Kestler H.A., Palm G. Three learning phases for radial-basis-function networks. Neural Networks. 14(4-5):2001;439-458.
    • (2001) Neural Networks , vol.14 , Issue.4-5 , pp. 439-458
    • Schwenker, F.1    Kestler, H.A.2    Palm, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.