Neural networks letter: Global almost sure self-synchronization of Hopfield neural networks with randomly switching connections

Authors:
Bo Liu;Wenlian Lu;Tianping Chen
Affiliations:
-;-;-
Venue:
Neural Networks
Year:
2011

Citing 3
Cited 4

Global exponential stability of delayed Hopfield neural networks

Neural Networks
Almost sure exponential stability of recurrent neural networks with Markovian switching

IEEE Transactions on Neural Networks
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays

IEEE Transactions on Neural Networks

Synchronization control of a class of memristor-based recurrent neural networks

Information Sciences: an International Journal
Global exponential synchronization of generalized stochastic neural networks with mixed time-varying delays and reaction-diffusion terms

Neurocomputing
Neural networks letter: Stability analysis of some delay differential inequalities with small time delays and its applications

Neural Networks
Synchronization stability in complex interconnected neural networks with nonsymmetric coupling

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we discuss Hopfield neural networks with stochastic switching weights, investigating their global almost sure self-synchronization. Sufficient conditions ensuring global almost sure exponential synchronization of Hopfield neural networks with stochastic switching weights are given.