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Volumn 39, Issue 5, 2006, Pages 747-760

RBF-based neurodynamic nearest neighbor classification in real pattern space

Author keywords

Associative memory; Nearest neighbor classification; Neurodynamics; Radial basis functions

Indexed keywords

ASSOCIATIVE MEMORY; NEAREST NEIGHBOR CLASSIFICATION; NEURODYNAMICS;

EID: 33244467462     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2005.10.026     Document Type: Article
Times cited : (24)

References (21)
  • 2
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc. Natl. Acad. Sci. 79 1982 2554 2558
    • (1982) Proc. Natl. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 3
    • 0024078743 scopus 로고
    • A generalized convergence theorem for neural networks
    • J. Bruck, and J.W. Goodman A generalized convergence theorem for neural networks IEEE Trans. Inform. Theory 34 1988 1089 1092
    • (1988) IEEE Trans. Inform. Theory , vol.34 , pp. 1089-1092
    • Bruck, J.1    Goodman, J.W.2
  • 5
    • 0031244961 scopus 로고    scopus 로고
    • Face recognition using transform features and neural networks
    • M. Ranganath, and K. Arun Face recognition using transform features and neural networks Pattern Recognition 30 1997 1615 1622
    • (1997) Pattern Recognition , vol.30 , pp. 1615-1622
    • Ranganath, M.1    Arun, K.2
  • 6
    • 0036487235 scopus 로고    scopus 로고
    • New training strategies for RBF neural networks for X-ray agricultural product inspection
    • D. Casasent, and X. Chen New training strategies for RBF neural networks for X-ray agricultural product inspection Pattern Recognition 36 2003 535 547
    • (2003) Pattern Recognition , vol.36 , pp. 535-547
    • Casasent, D.1    Chen, X.2
  • 8
    • 0029051142 scopus 로고
    • Recurrent radial basis function networks for adaptive noise cancellation
    • S.A. Billings, and C.F. Fung Recurrent radial basis function networks for adaptive noise cancellation Neural Networks 8 1995 273 290
    • (1995) Neural Networks , vol.8 , pp. 273-290
    • Billings, S.A.1    Fung, C.F.2
  • 10
    • 15344344409 scopus 로고    scopus 로고
    • An energy function-based design method for discrete Hopfield associative memory with attractive fixed points
    • M.K. Muezzinoglu, C. Guzelis, J.M. Zurada, An energy function-based design method for discrete Hopfield associative memory with attractive fixed points, IEEE Trans. Neural Networks 16 (2005) 826-834.
    • (2005) IEEE Trans. Neural Networks , vol.16 , pp. 826-834
    • Muezzinoglu, M.K.1    Guzelis, C.2    Zurada, J.M.3
  • 11
    • 6044227989 scopus 로고    scopus 로고
    • A Boolean Hebb rule for binary associative memory design
    • M.K. Muezzinoglu, and C. Guzelis A Boolean Hebb rule for binary associative memory design IEEE Trans. Neural Networks 15 2004 195 202
    • (2004) IEEE Trans. Neural Networks , vol.15 , pp. 195-202
    • Muezzinoglu, M.K.1    Guzelis, C.2
  • 12
    • 0030271748 scopus 로고    scopus 로고
    • Generalized Hopfield networks with multiple stable states
    • J.M. Zurada, I. Cloete, and E. van der Poel Generalized Hopfield networks with multiple stable states Neurocomputing 13 1996 135 149
    • (1996) Neurocomputing , vol.13 , pp. 135-149
    • Zurada, J.M.1    Cloete, I.2    Van Der Poel, E.3
  • 13
    • 0041523970 scopus 로고    scopus 로고
    • A new design method for the complex-valued multistate Hopfield associative memory
    • M.K. Muezzinoglu, C. Guzelis, and J.M. Zurada A new design method for the complex-valued multistate Hopfield associative memory IEEE Trans. Neural Networks 14 2003 891 899
    • (2003) IEEE Trans. Neural Networks , vol.14 , pp. 891-899
    • Muezzinoglu, M.K.1    Guzelis, C.2    Zurada, J.M.3
  • 14
    • 0024765401 scopus 로고
    • Analysis and synthesis of a class of neural networks: Linear systems operating on a closed hypercube
    • J. Li, A.N. Michel, and W. Porod Analysis and synthesis of a class of neural networks linear systems operating on a closed hypercube IEEE Trans. Circuits Syst. 36 1989 1405 1422
    • (1989) IEEE Trans. Circuits Syst. , vol.36 , pp. 1405-1422
    • Li, J.1    Michel, A.N.2    Porod, W.3
  • 15
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio, and F. Girosi Networks for approximation and learning Proc. IEEE 78 1990 1481 1497
    • (1990) Proc. IEEE , vol.78 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 16
    • 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. 3 1991 246 257
    • (1991) Neural Comput. , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 17
    • 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. Neural Networks 10 1999 657 671
    • (1999) IEEE Trans. Neural Networks , vol.10 , pp. 657-671
    • Karayiannis, N.B.1
  • 18
    • 0004178386 scopus 로고    scopus 로고
    • third ed. Prentice-Hall Englewood Cliffs, NJ
    • H.K. Khalil Nonlinear of Systems third ed. 2001 Prentice-Hall Englewood Cliffs, NJ
    • (2001) Nonlinear of Systems
    • Khalil, H.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.