A discrete sequential bidirectional associative memory for multistep pattern recognition
Pattern Recognition Letters
Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
Global asymptotic stability of delayed bi-directional associative memory neural networks
Applied Mathematics and Computation
Global stability analysis of a class of delayed cellular neural networks
Mathematics and Computers in Simulation
Extended bidirectional associative memories: A study on poor education
Mathematical and Computer Modelling: An International Journal
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Time delays and stimulus-dependent pattern formation in periodic environments in isolated neurons
IEEE Transactions on Neural Networks
Delay-independent stability in bidirectional associative memory networks
IEEE Transactions on Neural Networks
The numerical simulation of periodic solutions for a neural network
Computers & Mathematics with Applications
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By constructing a suitable Lyapunov function and using some analysis techniques, rather than employing the continuation theorem of coincidence degree theory as in other literature, a sufficient criterion is obtained to ensure the existence and global exponential stability of periodic solution for the bidirectional associative memory neural network with periodic coefficients and continuously distributed delays. The obtained result is less restrictive to the BAM neural network than the previously known criteria. And it can be applied to the BAM neural network in which signal transfer functions are neither bounded nor differentiable. In addition, an example and its numerical simulation are given to illustrate the effectiveness of the obtained result.