On the dynamics of discrete-time, continuous-state hopfield neural networks

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

Volumn 45, Issue 6, 1998, Pages 747-749

  Wang, Lipo ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Convergence; Cycles; Fixed point; Hopfield neural networks; Oscillation; Stability

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; LYAPUNOV METHODS; PARALLEL PROCESSING SYSTEMS; THEOREM PROVING;

HOPFIELD NEURAL NETWORKS (HNN);

NEURAL NETWORKS;

EID: 0032097801     PISSN: 10577130     EISSN: None     Source Type: Journal    
DOI: 10.1109/82.686695     Document Type: Article

References (8)

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7. J. Bruck and J. W. Goodman, "A generalized convergence theorem for neural networks," IEEE Trans. Inform. Theory, vol. 34, pp. 1089-1092, May. 1988.
8. C. Robinson, Dynamical Systems: Stability, Symbolic Dynamics, and Chaos. Boca Raton, FL: CRC Press, 1995.