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Volumn 1, Issue , 2005, Pages 685-692

Artificial neural networks for non-destructive evaluation with ultrasonic waves in not accessible

Author keywords

Blind Separation; Finite Element Analysis; Neural Network; Non Destructive Testing; PCA

Indexed keywords

BLIND SOURCE SEPARATION; FINITE ELEMENT METHOD; MATHEMATICAL MODELS; NONDESTRUCTIVE EXAMINATION; PRINCIPAL COMPONENT ANALYSIS; ULTRASONIC WAVES;

EID: 33745918632     PISSN: 01972618     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAS.2005.1518382     Document Type: Conference Paper
Times cited : (23)

References (18)
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  • 7
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    • Flaw identification from time and frequency features of ultrasonic waveforms
    • July
    • T. J. Case, and R. C. Waag, "Flaw identification from time and frequency features of ultrasonic waveforms," IEEE Trans. Ultrasonic and frequency Control, vol. 43, pp. 592-600, July 1996.
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.