Title :
Connective stability of neural networks
Author :
Jiao, L.C. ; Bao, Zheng
Author_Institution :
Inst. of Electron. Eng., Xidian Univ., Xian, China
Abstract :
In this paper the nonlinear dynamics and connective stabilities of neural network dynamical systems (which include delay-time) under structural perturbations are studied by differential inequalities and vector Lyapunov functions. The criteria of uniformly connective stability of neural network dynamical systems are established
Keywords :
Lyapunov methods; delays; matrix algebra; neural nets; stability criteria; connective stabilities; delay-time; dynamical systems; neural networks; nonlinear dynamics; structural perturbations; vector Lyapunov functions; Differential equations; Lyapunov method; Neural networks; Neurons; Nonlinear dynamical systems; Senior members; Shape; Stability analysis; Stability criteria;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184337
