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Volumn 15, Issue 2, 2002, Pages 260-266

A neural-network approach for semiconductor wafer post-sawing inspection

Author keywords

Defect; Neural network; Post sawing inspection; Semiconductor wafer

Indexed keywords

BACKPROPAGATION; DEFECTS; INTEGRATED CIRCUIT LAYOUT; SCANNING ELECTRON MICROSCOPY;

EID: 0036565004     PISSN: 08946507     EISSN: None     Source Type: Journal    
DOI: 10.1109/66.999602     Document Type: Conference Paper
Times cited : (114)

References (15)
  • 15
    • 0031521466 scopus 로고    scopus 로고
    • A learning vector quantization neural network model for the classification of industrial construction projects
    • (1997) Omega , vol.25 , Issue.6 , pp. 715-727
    • Gupta, V.K.1    Chen, J.G.2    Murtaza, M.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.