Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Dynamic equations on time scales: a survey
Journal of Computational and Applied Mathematics - Dynamic equations on time scales
Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
Existence and stability of almost periodic solution for BAM neural networks with delays
Applied Mathematics and Computation
Corresponding Banach spaces on time scales
Journal of Computational and Applied Mathematics - Special issue: Proceedings of the conference on orthogonal functions and related topics held in honor of Olav Njåstad
International Journal of Systems Science
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Delay-independent stability in bidirectional associative memory networks
IEEE Transactions on Neural Networks
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Stability of neural networks with both impulses and time-varying delays on time scale
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
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Some sufficient conditions are derived to ensure the global exponential stability of delayed bi-directional associative memory (BAM) neural network on time scale, using the time scale calculus theory and the Liapunov functional method. The conditions possess highly important significance and can be easily checked in practice by simple algebraic methods. This is the first time applying the time scale calculus theory to unify and improve discrete-time and continuous-time bi-directional associate memory neural network under the same framework.