메뉴 건너뛰기




Volumn 16, Issue 2, 2002, Pages 180-183

An RBF-based pattern recognition method by competitively reducing classification-oriented error

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ERROR ANALYSIS; FEATURE EXTRACTION; FUNCTIONS; ITERATIVE METHODS; LEARNING SYSTEMS; OPTIMIZATION; HEAT CONDUCTION; IMAGE SEGMENTATION; RADIAL BASIS FUNCTION NETWORKS;

EID: 2342513086     PISSN: 10514651     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICPR.2002.1048267     Document Type: Article
Times cited : (3)

References (6)
  • 3
    • 0035441330 scopus 로고    scopus 로고
    • Efficient training of RBF neural networks for pattern recognition
    • F. Lampariello and M. Sciandrone, “Efficient Training of RBF Neural Networks for Pattern Recognition, ” IEEE Trans. On Neural Networks, Vol. 12, No. 5, pp. 1235-1242, 2001.
    • (2001) IEEE Trans. on Neural Networks , vol.12 , Issue.5 , pp. 1235-1242
    • Lampariello, F.1    Sciandrone, M.2
  • 4
    • 0000106040 scopus 로고
    • Universal approximation using radial-basis-function networks
    • J. Park and I.W. Sandberg, “Universal Approximation Using Radial-Basis-Function Networks, ” Neural Comput, Vol. 3, pp. 246-257, 1991.
    • (1991) Neural Comput , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 5
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J.E. Moody and C.J. Darken, “Fast Learning in Networks of Locally-Tuned Processing Units, ” Neural Comput, Vol. 1, pp. 281-294, 1989.
    • (1989) Neural Comput , vol.1 , pp. 281-294
    • Moody, J.E.1    Darken, C.J.2
  • 6
    • 0032690356 scopus 로고    scopus 로고
    • Reformulated radial basis neural networks trained by gradient descent
    • N.B. Karayiannis, “Reformulated Radial Basis Neural Networks Trained by Gradient Descent, ” IEEE Trans. On Neural Networks, Vol. 10, No. 3, pp. 657-671, 1999.
    • (1999) IEEE Trans. on Neural Networks , vol.10 , Issue.3 , pp. 657-671
    • Karayiannis, N.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.