Global stability analysis of bidirectional associative memory neural networks with time delay

2001 ◽  
Vol 29 (2) ◽  
pp. 185-196 ◽  
Author(s):  
Jiye Zhang ◽  
Yiren Yang
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Global Stability ◽  
Associative Memory ◽  
Bidirectional Associative Memory ◽  
Global Stability Analysis

Global stability analysis of fractional-order Hopfield neural networks with time delay

2015 ◽  
Vol 154 ◽  
pp. 15-23 ◽  
Author(s):  
Hu Wang ◽  
Yongguang Yu ◽  
Guoguang Wen ◽  
Shuo Zhang ◽  
Junzhi Yu
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Global Stability ◽  
Fractional Order ◽  
Hopfield Neural Networks ◽  
Global Stability Analysis

scholarly journals Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Wei Feng ◽  
Simon X. Yang ◽  
Haixia Wu
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Associative Memory ◽  
Robust Stability ◽  
Neutral Type ◽  
Time Varying ◽  
Bidirectional Associative Memory ◽  
Numerical Examples ◽  
Network Parameters ◽  
Robust Stability Analysis

The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties. The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only. Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results. Two numerical examples are illustrated to verify our results.

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