Matrix analysis
Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Robust Stability of Switched Cohen–Grossberg Neural Networks With Mixed Time-Varying Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Stability analysis of bidirectional associative memory networks with time delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Delay-independent stability in bidirectional associative memory networks
IEEE Transactions on Neural Networks
Mathematics and Computers in Simulation
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Journal of Computational and Applied Mathematics
Periodic solutions for high-order cohen-grossberg-type BAM neural networks with time-delays
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Mathematical and Computer Modelling: An International Journal
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Periodic solutions can represent various storage patterns or memory patterns in some applications. In this paper, the existence and global exponential stability of periodic solution are discussed for the Cohen-Grossberg-type bidirectional associative memory (BAM) neural networks with time-varying delays. By applying the analysis method and inequality technique, some novel sufficient conditions are obtained to ensure the existence, uniqueness, global attractivity and exponential stability of the periodic solution to the considered system. Moreover, two examples are also given to demonstrate the feasibility of the obtained results.