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Volumn , Issue , 2000, Pages

Support vector machines for nuclear reactor state estimation

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; ESTIMATION; LEARNING ALGORITHMS; NUCLEAR ENERGY; NUCLEAR FUELS; PRESSURE TUBE REACTORS; QUADRATIC PROGRAMMING; STATE ESTIMATION;

EID: 34047139165     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (11)
  • 6
    • 0000249788 scopus 로고    scopus 로고
    • An Equivalence Between Sparse Approximation and Support Vector Machines
    • F. Girosi, “An Equivalence Between Sparse Approximation and Support Vector Machines,“Neural Computation 10, pp. 1455-1480 (1998).
    • (1998) Neural Computation , vol.10 , pp. 1455-1480
    • Girosi, F.1
  • 9
    • 0003120218 scopus 로고    scopus 로고
    • Fast Training of Support Vector Machines Using Sequential Minimal Optimization
    • ed. B. Sholkopf et al, MIT Press
    • J. Platt, “Fast Training of Support Vector Machines Using Sequential Minimal Optimization,“in Advances in Kernel Methods - Support Vector Learning, ed. B. Sholkopf et al, MIT Press (1999).
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.