Title :
Stability analysis of bidirectional associative memory networks with time delays
Author :
Feng, Chunhua ; Plamondon, Réjean
Author_Institution :
Lab. Scribens, Ecole Polytechnique de Montreal, Canada
Abstract :
By using the method of Liapunov functional, a model for bidirectional associative memory networks with time delays is studied. The asymptotic stability is global in the state space of the neuronal activations and is also independent of the delays. Our results can be applied to a variety of situations that arise both in the field of biological and artificial neural networks.
Keywords :
Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; Lyapunov function; artificial neural network; bidirectional associative memory networks; biological neural network; stability analysis; time delays; Artificial neural networks; Associative memory; Asymptotic stability; Biological system modeling; Circuits; Convergence; Delay effects; Magnesium compounds; Stability analysis; State-space methods;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2003.820829
