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Volumn 44, Issue 1 PART 1, 2011, Pages 11614-11621

Multilevel kernel methods for Virtual Metrology in semiconductor manufacturing

Author keywords

Computer aided manufacturing; Industry automation; Machine learning; Probabilistic models; Semiconductors

Indexed keywords

COMPUTER AIDED INSTRUCTION; COMPUTER AIDED MANUFACTURING; MULTI-TASK LEARNING; SEMICONDUCTOR DEVICE MANUFACTURE; SEMICONDUCTOR MATERIALS; VIRTUAL MACHINE;

EID: 84866754326     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.01339     Document Type: Conference Paper
Times cited : (22)

References (16)
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    • Harville, D.1
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    • Khan, A., Moyne, J., and Tilbury, D. (2008). Virtual metrology and feedback control for semiconductor manufacturing processes using recursive partial least squares. Journal of Process Control, 18(10), 961{974.
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    • On the interaction between measurement strategy and control performance in semiconductor manufacturing
    • Su, A., Yu, C., and Ogunnaike, B. (2008a). On the interaction between measurement strategy and control performance in semiconductor manufacturing. Journal of Process Control, 18(3-4), 266{276.
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    • Su, A.1    Yu, C.2    Ogunnaike, B.3
  • 12
    • 49249085507 scopus 로고    scopus 로고
    • Accuracy and real-time considerations for implementing various virtual metrology algorithms
    • Su, Y., Lin, T., Cheng, F., and Wu, W. (2008b). Accuracy and real-time considerations for implementing various virtual metrology algorithms. IEEE Transactions on Semiconductor Manufacturing, 21(3).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.