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Volumn 67 LNEE, Issue , 2010, Pages 253-263

Radial basis function network for endpoint detection in plasma etch process

Author keywords

Endpoint Detection; Etch Process; Neural Network; OES; RBF

Indexed keywords

END POINT DETECTION; ETCH PROCESS; FUNCTIONAL APPROXIMATION; NETWORK TRAINING; OES; OVER-ETCHING; PLASMA ETCH PROCESS; RBF; REAL-TIME MONITOR; SEMICONDUCTOR MANUFACTURING PROCESS;

EID: 84857116457     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-12990-2_29     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 2
    • 0344896839 scopus 로고    scopus 로고
    • Neural network modeling of reactive ion etching using optical emission spectroscopy data
    • Hong, S.J., May, G.S., Park, D.C.: Neural network modeling of reactive ion etching using optical emission spectroscopy data. IEEE Transactions 16(4), 598-608 (2003)
    • (2003) IEEE Transactions , vol.16 , Issue.4 , pp. 598-608
    • Hong, S.J.1    May, G.S.2    Park, D.C.3
  • 6
    • 0003413187 scopus 로고    scopus 로고
    • Prentice Hall, Englewood Cliffs ch. 7: Radial-Basis Function Networks
    • Haykin, S.: Neural Networks-A Comprehensive Foundation. Prentice Hall, Englewood Cliffs (1998); ch. 7: Radial-Basis Function Networks
    • (1998) Neural Networks-A Comprehensive Foundation
    • Haykin, S.1
  • 9
    • 0000106040 scopus 로고
    • Universal approximation using radial basis functions network
    • Park, J., Sandberg, J.W.: Universal approximation using radial basis functions network. Neural Computation 3 (1991)
    • (1991) Neural Computation , vol.3
    • Park, J.1    Sandberg, J.W.2
  • 11
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio, T., Girosi, F.: Networks for approximation and learning. Proc. IEEE 78(9) (1990)
    • (1990) Proc. IEEE , vol.78 , Issue.9
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.