메뉴 건너뛰기




Volumn , Issue , 2003, Pages 109-114

Adaptive selection of neural networks for a committee decision

Author keywords

Adaptive systems; Bayesian methods; Boosting; Fuzzy neural networks; Neural networks; Production facilities; Sampling methods; Testing; Valves; Voting

Indexed keywords

ADAPTIVE SYSTEMS; BAYESIAN NETWORKS; DATA ACQUISITION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; INPUT OUTPUT PROGRAMS; NEURAL NETWORKS; STATISTICAL TESTS; SUGAR FACTORIES; TESTING; VALVES (MECHANICAL);

EID: 50149088763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDAACS.2003.1249528     Document Type: Conference Paper
Times cited : (8)

References (15)
  • 1
    • 0026860706 scopus 로고
    • Methods for combining multiple classifiers and their applications to handwriting recognition
    • L. Xu, A. Krzyzak, C.Y. Suen, Methods for combining multiple classifiers and their applications to handwriting recognition, IEEE Trans. Systems, Man, and Cybernetics 22 (3) (1992). pp. 418-435.
    • (1992) IEEE Trans. Systems, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 2
    • 0000442861 scopus 로고    scopus 로고
    • Combining estimators using non-constant weighting functions
    • G. Tesauro, D. S. Touretzky, T. K. Leen, editors, MIT Press
    • V. Tresp, M. Taniguchi. Combining estimators using non-constant weighting functions. In G. Tesauro, D. S. Touretzky, T. K. Leen, editors, Advances in Neural Information Processing Systems 7, MIT Press, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.7
    • Tresp, V.1    Taniguchi, M.2
  • 3
    • 0031171679 scopus 로고    scopus 로고
    • Optimal linear combinations of neural networks
    • S. Hashem, Optimal linear combinations of neural networks, Neural Networks 10 (4) (1997). pp. 599-614.
    • (1997) Neural Networks , vol.10 , Issue.4 , pp. 599-614
    • Hashem, S.1
  • 5
    • 0028480740 scopus 로고
    • Classification by fuzzy integral: Performance and tests
    • M. Grabisch, J.-M. Nicolas. Classification by fuzzy integral: Performance and tests, Fuzzy Sets and Systems 65 (1994). pp. 255-271.
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 255-271
    • Grabisch, M.1    Nicolas, J.-M.2
  • 8
    • 0036671543 scopus 로고    scopus 로고
    • Fusing neural networks through space partitioning and fuzzy integration
    • Kluwer Academic Publishers
    • A. Verikas, A. Lipnickas. Fusing neural networks through space partitioning and fuzzy integration, Neural Processing Letters, Kluwer Academic Publishers, 2002.
    • (2002) Neural Processing Letters
    • Verikas, A.1    Lipnickas, A.2
  • 11
    • 0003479038 scopus 로고    scopus 로고
    • Technical report Statistics Departament, University of California, Berkeley
    • L. Breiman. Half&Half bagging and hard boundary points, Technical report 534, Statistics Departament, University of California, Berkeley, 1998. (www.stat.berkley.edu/users/breiman).
    • (1998) Half&Half Bagging and Hard Boundary Points
    • Breiman, L.1
  • 12
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • D.J. MacKay, Bayesian interpolation, Neural Computation 4 (1992). pp. 415-447.
    • (1992) Neural Computation , vol.4 , pp. 415-447
    • MacKay, D.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.