Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Robust Stability of Switched Cohen–Grossberg Neural Networks With Mixed Time-Varying Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability analysis of bidirectional associative memory networks with time delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Journal of Computational and Applied Mathematics
Hi-index | 0.01 |
In this paper, a class of Cohen-Grossberg-type bi-directional associative memory (BAM) neural networks with distributed delays is discussed. Based on inequality analysis method and combining the exponential dichotomy with fixed point theorem, some novel sufficient conditions are obtained to ensure the existence and globally exponential stability of almost periodic solution to this system. Moreover, an example is given to demonstrate the feasibility of our results.