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Volumn 4029 LNAI, Issue , 2006, Pages 113-122

RBF nets in faults localization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 33746223526     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11785231_13     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Allwein, A., Schapire, R., Singer, Y.: Reducing multiclass to binary: A unifying approach for margin classifiers. J. Machine Learning Research, 1 (2000) 113-141
    • (2000) J. Machine Learning Research , vol.1 , pp. 113-141
    • Allwein, A.1    Schapire, R.2    Singer, Y.3
  • 5
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Dietterich, T., Bakiri, G.: Solving Multiclass Learning Problems via Error-Correcting Output Codes. J. Artificial Intelligence Research 2 (1995) 263-86
    • (1995) J. Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.1    Bakiri, G.2
  • 6
    • 0023348857 scopus 로고
    • Necessary and sufficient conditions for bayes risk consistency of recursive kernel classification rule
    • Greblicki, W., Pawlak, M.: Necessary and Sufficient Conditions for Bayes Risk Consistency of Recursive Kernel Classification Rule. IEEE Trans. Information Theory, 33 (1987) 408-412
    • (1987) IEEE Trans. Information Theory , vol.33 , pp. 408-412
    • Greblicki, W.1    Pawlak, M.2
  • 8
    • 0043026794 scopus 로고    scopus 로고
    • On the construction and training of reformulated radial basis function neural networks
    • Karayiannis, N.B., Randolph-Gips, M. M.: On the Construction and Training of Reformulated Radial Basis Function Neural Networks, IEEE Trans. on Neural Networks 14 (2003) 835-846.
    • (2003) IEEE Trans. on Neural Networks , vol.14 , pp. 835-846
    • Karayiannis, N.B.1    Randolph-Gips, M.M.2
  • 9
    • 33746179769 scopus 로고    scopus 로고
    • Fault diagnosis
    • Korbicz J., Kocielny J.M., Kowalczuk Z., Cholewa W. (eds.). Springer-Verlag, Berlin Heidelberg New York
    • Korbicz J., Kocielny J.M., Kowalczuk Z., Cholewa W. (eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications. Springer-Verlag, Berlin Heidelberg New York (2004)
    • (2004) Models, Artificial Intelligence, Applications
  • 10
    • 9444296016 scopus 로고    scopus 로고
    • Combining space-filling curves and radial basis function networks
    • Artificial Intelligence and Soft Computing. Leszek Rutkowski et all (eds.). Springer-Verlag, Berlin Heidelberg New York
    • Krzyżak A., Skubalska-Rafajlowicz E.: Combining Space-Filling Curves and Radial Basis Function Networks. Artificial Intelligence and Soft Computing. Leszek Rutkowski et all (eds.): Lecture Notes in Artificial Intelligence, Vol. 3070. Springer-Verlag, Berlin Heidelberg New York (2004) 229-234
    • (2004) Lecture Notes in Artificial Intelligence , vol.3070 , pp. 229-234
    • Krzyzak, A.1    Skubalska-Rafajlowicz, E.2
  • 12
    • 0035396482 scopus 로고    scopus 로고
    • Pattern recognition algorithms based on space-filling curves and orthogonal expansions
    • Skubalska-Rafajlowicz E.: Pattern Recognition Algorithms Based on Space-Filling Curves and Orthogonal Expansions. IEEE Trans. Information Theory 47 (2001) 1915-1927
    • (2001) IEEE Trans. Information Theory , vol.47 , pp. 1915-1927
    • Skubalska-Rafajlowicz, E.1
  • 16
    • 0028341934 scopus 로고
    • On radial basis function nets and kernel regression: Statistical consistency, convergence rates and receptive field size
    • Xu L., Krzyżak A., Yuille A.: On Radial Basis Function Nets and Kernel Regression: Statistical Consistency, Convergence Rates and Receptive Field Size. Neural Networks 4 (1994) 609-628
    • (1994) Neural Networks , vol.4 , pp. 609-628
    • Xu, L.1    Krzyzak, A.2    Yuille, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.