In this paper, the Cohen–Grossberg neural network model with both time-varying and continuously distributed delays is considered.

May 24, 2023 · Abstract. In the paper, the existence and uniqueness of the equilibrium point in the Cohen-Grossberg neural network (CGNN) are first studied.

We consider the model proposed by Cohen and Grossberg [1] in the case when the neurons are subject to a certain impulsive state displacement at random moments.

In this paper, the global exponential stability is investigated for the Cohen–Grossberg neural networks with time-varying and distributed delays.

The essential purpose of this work is to conduct an investigation into stability problem for the class of neutral-type Cohen-Grossberg neural networks ...

Apr 28, 2024 · This model can well describe many practical architectures of delayed neural networks, which is generalization of some additive delayed neural ...

Abstract: Without assuming boundedness and differentiability of the activation functions and any symmetry of interconnections, we employ Lyapunov functions ...

Without assuming boundedness and differentiability of the activation functions and any symmetry of interconnections, we employ Lyapunov functions to ...

A new approach is developed to establish delay-independent/dependent sufficient conditions for global exponential stability. The results obtained can be easily ...

Nov 4, 2019 · This paper aims to analyze the stability of Cohen–Grossberg neural networks with saturated impulse inputs. By using the method of Lyapunov ...