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Volumn 17, Issue 3, 2005, Pages 515-525

On convergence conditions of an extended projection neural network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN MAPPING; COMPUTER SIMULATION; HUMAN; NONLINEAR SYSTEM;

EID: 13844276167     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/0899766053019926     Document Type: Article
Times cited : (25)

References (12)
  • 1
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    • A constrained EM algorithm for principal component analysis
    • Ahn, J. H., & Oh, J. H. (2003). A constrained EM algorithm for principal component analysis. Neural Computation, 15, 57-66.
    • (2003) Neural Computation , vol.15 , pp. 57-66
    • Ahn, J.H.1    Oh, J.H.2
  • 2
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell, A. J., & Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7, 1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 5
    • 0348090400 scopus 로고    scopus 로고
    • The linear programming approach to approximate dynamic programming
    • De Farias, D.P., & Van Roy, B. (2003). The linear programming approach to approximate dynamic programming. Operations Research, 51, 850-865.
    • (2003) Operations Research , vol.51 , pp. 850-865
    • De Farias, D.P.1    Van Roy, B.2
  • 7
    • 0344704362 scopus 로고
    • Finite-dimensional variational inequality and nonlinear complementary problems: A survey of theory, algorithms, and applications
    • Harker, P. T., & Pang, J. S. (1990). Finite-dimensional variational inequality and nonlinear complementary problems: A survey of theory, algorithms, and applications. Mathematical Programming, 48, 161-220.
    • (1990) Mathematical Programming , vol.48 , pp. 161-220
    • Harker, P.T.1    Pang, J.S.2
  • 8
    • 0026954958 scopus 로고
    • Principal components, minor components and linear neural networks
    • Oja, E. (1992). Principal components, minor components and linear neural networks. Neural Networks, 5, 927-935.
    • (1992) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 9
    • 0001302140 scopus 로고    scopus 로고
    • Gradient projection network: Analog solver for linearly constrained nonlinear programming
    • Urahama, K. (1996). Gradient projection network: Analog solver for linearly constrained nonlinear programming. Neural Computation, 8, 1061-1074.
    • (1996) Neural Computation , vol.8 , pp. 1061-1074
    • Urahama, K.1
  • 10
    • 0035292754 scopus 로고    scopus 로고
    • A constrained EM algorithm for independent component analysis
    • Welling, M., & Webber, M. (2001). A constrained EM algorithm for independent component analysis. Neural Computation, 13, pp. 677-689.
    • (2001) Neural Computation , vol.13 , pp. 677-689
    • Welling, M.1    Webber, M.2
  • 11
    • 1542291075 scopus 로고    scopus 로고
    • An extended neural network for constrained optimization
    • Xia, Y. S. (2004). An extended neural network for constrained optimization. Neural Computation, 16, 863-883.
    • (2004) Neural Computation , vol.16 , pp. 863-883
    • Xia, Y.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.