Stability of neural networks with time-varying delays

作者：Zeng ZG^*; Liao XX

来源：Dynamics of Continuous Discrete and Impulsive Systems: Series B; Applications and Algorithms , 2003, 340-345.

• time-varying delays
• neural networks
• equilibrium point
• the rate of exponential convergence
• stability

In this paper, we studies global asymptotic stability and global exponential stability of neural networks with time-varying delays including Hopfield neural network and cellular neural network. Without monotonicity, boundedness and differentiability of the neuron input-output activation function, some sufficient conditions of global asymptotic stability and global exponential stability of the neural network with time-varying delays are obtained. Using these conditions, it is convenient to calculate the estimate value of the rate of exponential convergence.

• 出版日期2003
• 单位湖北师范大学