Global stability analysis in delayed Hopfield neural network models

Neural Networks

Volumn 13, Issue 7, 2000, Pages 745-753

  Zhang, Jiye ^a   Jin, Xuesong ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Delay; Global asymptotic stability; M matrix; Neural network

Indexed keywords

ASYMPTOTIC STABILITY; DATA STRUCTURES; MATHEMATICAL MODELS; MATRIX ALGEBRA;

DELAYED HOPFIELD NEURAL NETWORK MODELS; GLOBAL ASYMPTOTIC STABILITY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; MODEL; PRIORITY JOURNAL; SHORT SURVEY;

EID: 0034266878     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(00)00050-2     Document Type: Article

References (23)

1. Stability in a model of delayed neural network
2. Stability of a class of neural network models with delay
3. A note on stability of analog neural networks with time delays
4. Stability analysis of delayed cellular neural networks
5. Cellular neural networks: theory
6. Absolute stability and global pattern formation and parallel memory storage by competitive neural networks
7. On global asymptotic stability of a class of nonlinear systems arising in neural network theory
8. New conditions for global stability of neural networks with application to linear and quadratic programming problems
9. Stability in asymmetric Hopfield nets with transmission delays
10. Delay-independent stability in bidirectional associative memory networks
11. Neurons with graded response have collective computational properties like those of two sate neurons
12. Neural networks for nonlinear programming
13. Stability of analog neural networks with delay
14. Stability conditions for nonlinear continuous neural networks with asymmetric connection weights
15. Associative memory with non-monotone dynamics
16. Qualitative analysis of neural networks
17. Global dynamics of bidirectional associative memory neural networks involving transmission delays and dead zones
18. Global dynamics of bidirectional associative memory networks with transmission delays
19. Simple neural optimization networks: an A/D converter, signal decision circuit and a linear programming circuit
20. Global attractivity in delayed Hopfield neural networks models