Absolute stability of nonsymmetric neural networks
Sabri Arik, V. Tavşanoglu · 2002
In this paper, two conditions concerning absolute stability of nonsymmetric dynamical neural networks are presented. Each condition guarantees the uniqueness and global asymptotic stability of the equilibrium point for different classes of activation functions and under different constraint conditions imposed on the interconnection matrix.