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Volumn , Issue , 2006, Pages 3774-3777

High-throughput screening of DeNOx catalyst using artificial neural networks

Author keywords

DeNOx catalyst; High throughput screening; Support vector machine

Indexed keywords

FEATURE SPACE; HIGH-THROUGHPUT SCREENING; MICROREACTORS; STRUCTURAL RISKS;

EID: 34250772876     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SICE.2006.314627     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 3
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    • Sulf. Sci
    • 189
    • Takeuchi, I. Appl. Sulf. Sci. 2002, 189, 353-357.
    • (2002) , pp. 353-357
    • Takeuchi, I.A.1
  • 6
    • 0001494605 scopus 로고    scopus 로고
    • Back-propagation: The Basic Theory
    • Smolensky, P, Mozer, M. C, Rumelhart, D. E, Eds, Lawrence Earlbaum Assoc, Hillsdale, NJ
    • Rumelhart, D.; Durbin, R.; Golden, R.; Chauvin, Y. Back-propagation: The Basic Theory. In Mathematical Perspectives on Neural Networks; Smolensky, P., Mozer, M. C., Rumelhart, D. E., Eds.; Lawrence Earlbaum Assoc.: Hillsdale, NJ, 1996; pp 533-566.
    • (1996) Mathematical Perspectives on Neural Networks , pp. 533-566
    • Rumelhart, D.1    Durbin, R.2    Golden, R.3    Chauvin, Y.4
  • 7
    • 0004063090 scopus 로고    scopus 로고
    • Prentice-Hall: New Jersey
    • Haykin, S. Neural networks; Prentice-Hall: New Jersey, 1999.
    • (1999) Neural networks
    • Haykin, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.