… , and GAS of the neural network equilibrium point in the … symmetric or nonsymmetric and the
neuron activation may be modeled … of neural networks including the additive neural network …

… neural networks whose activation functions may not be monotone nondecreasing. We also
provide a Lyapunov diagonal stability … the GES of the neural networks with globally Lipschitz …

… III, we establishour main result for the global stability of Hopfield neural networks with
delays. In Sec. IV we investigate the local stability of equilibria of neural networks (1.A specific …

… 22 have considered the global asymptotic stability of the recurrent neural networks 3. Our …
recurrent neural networks 3 and to give a set of criteria ensuring global asymptotic stability of …

… neural networks to have a unique equilibrium and to be globally asymptotically or exponentially
stable … Hence, exploring the global asymptotic stability of neural networks is an important …

… the global asymptotic stability of the periodic solution for a general class of neural networks
whose neuron … condition which ensures the global asymptotical stability of a unique periodic …

… of robust stability of the equilibrium point of neural networks. Definition 1 [20]: The neural
network … Zhu, “Global stability of cellular neural networks with constant and variable delays,” …

… on global stability and global exponential stability of the equilibrium point for delayed
Hopfield neural networks and cellular neural networks with Lipschitz continuous neuron acti- …

… ) stable, it may not be globally stable. This paper addresses both the global stability and local
stability of dynamical neural … are interested in the global stability of this neural network (5). …

… are given to ascertain stability of analog neural networks with time delays. Recently, we
also note that a global stability criterion is presented for delayed neural networks in [12] during …