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Volumn 16, Issue 6, 2003, Pages 925-931

Global stability analysis in Hopfield neural networks

Author keywords

Global asymptotic stability; M matrix; Neural network

Indexed keywords

BOUNDARY CONDITIONS; FUNCTION EVALUATION; LYAPUNOV METHODS; MATRIX ALGEBRA; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING;

EID: 0141796611     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-9659(03)90018-8     Document Type: Article
Times cited : (29)

References (7)
  • 1
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two sate neurons
    • J.J. Hopfield, Neurons with graded response have collective computational properties like those of two sate neurons, Proc. Natl. Acad. Sci. USA 81, 3088-3092, (1984).
    • (1984) Proc. Natl. Acad. Sci. USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 2
    • 0024016062 scopus 로고
    • Neural networks for nonlinear programming
    • M.P. Kennedy and L.O. Chua, Neural networks for nonlinear programming, IEEE Trans. Circuits Syst. 35, 554-562 (1988).
    • (1988) IEEE Trans. Circuits Syst. , vol.35 , pp. 554-562
    • Kennedy, M.P.1    Chua, L.O.2
  • 3
    • 0022721216 scopus 로고
    • Simple neural optimization networks: An A/D converter, signal decision circuit and a linear programming circuit
    • D. Tank and J.J. Hopfield, Simple neural optimization networks: An A/D converter, signal decision circuit and a linear programming circuit, IEEE Trans. Circuits and Systems 33, 533-541, (1986).
    • (1986) IEEE Trans. Circuits and Systems , vol.33 , pp. 533-541
    • Tank, D.1    Hopfield, J.J.2
  • 4
    • 43949155364 scopus 로고
    • On global asymptotic stability of a class of nonlinear systems arising in neural network theory
    • M. Forti, On global asymptotic stability of a class of nonlinear systems arising in neural network theory, J. Differential Equations 113, 246-264, (1994).
    • (1994) J. Differential Equations , vol.113 , pp. 246-264
    • Forti, M.1
  • 6
    • 0029345226 scopus 로고
    • New conditions for global stability of neural networks with application to linear and quadratic programming problems
    • M. Forti and A. Tesi, New conditions for global stability of neural networks with application to linear and quadratic programming problems, IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications 42, 354-366, (1995).
    • (1995) IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications , vol.42 , pp. 354-366
    • Forti, M.1    Tesi, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.