Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays

Authors:
Xin-Ge Liu;R. R. Martin;Min Wu;Mei-Lan Tang
Affiliations:
Central South Univ., Changsha;-;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
2008

Citing 0
Cited 2

A delayed projection neural network for solving linear variational inequalities

IEEE Transactions on Neural Networks
Existence and Exponential Stability of Multiple Periodic Solutions for a Multidirectional Associative Memory Neural Network

Neural Processing Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's inequality and Holder's inequality techniques together with the properties of monotonic continuous functions, global exponential stability criteria are established for BAM NNs with time delays. This is done through the use of a new Lyapunov functional and an M-matrix. The results obtained in this paper extend and improve previous results.