Alpha---Beta bidirectional associative memories: theory and applications
Neural Processing Letters
Delay-dependent stability analysis for impulsive BAM neural networks with time-varying delays
Computers & Mathematics with Applications
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Neural Processing Letters
Computers & Mathematics with Applications
Almost sure exponential stability of recurrent neural networks with Markovian switching
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
New results for robust stability of dynamical neural networks with discrete time delays
Expert Systems with Applications: An International Journal
Exponential stability of stochastic interval cellular neural networks
ICNC'09 Proceedings of the 5th international conference on Natural computation
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
Complexity of alpha-beta bidirectional associative memories
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A new model of BAM: alpha-beta bidirectional associative memories
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
BAM-type Cohen-Grossberg neural networks with time delays
Mathematical and Computer Modelling: An International Journal
Global asymptotic stability for neural network models with distributed delays
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Bidirectional associative memories: Different approaches
ACM Computing Surveys (CSUR)
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This paper presents a sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with distributed time delays. The results impose constraint conditions on the network parameters of neural system independently of the delay parameter, and they are applicable to all continuous nonmonotonic neuron activation functions. It is shown that in some special cases of the results, the stability criteria can be easily checked. Some examples are also given to compare the results with the previous results derived in the literature.