Title :
Global stability of a larger class of dynamical neural networks
Author_Institution :
Dept. of Electron., Istanbul Univ., Turkey
Abstract :
In this paper, we present a sufficient condition for the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of dynamical neural networks. It is shown that the diagonal dominance of the interconnection matrix guarantees the existence, uniqueness and GAS of the equilibrium point with respect to all nondecreasing activation functions
Keywords :
asymptotic stability; matrix algebra; neural nets; diagonal dominance; dynamical neural networks; equilibrium point; global asymptotic stability; interconnection matrix; nondecreasing activation functions; Asymptotic stability; Equations; Neural networks; Stability analysis; Sufficient conditions;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.703947
