Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
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
Global stability of neural network with distributed delays
Neural, Parallel & Scientific Computations
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
New delay-dependent exponential stability criteria of BAM neural networks with time delays
Mathematics and Computers in Simulation
Boundedness and stability of nonautonomous cellular neural networks with reaction-diffusion terms
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
International Journal of Applied Mathematics and Computer Science
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In this paper, bidirectional associative memory (BAM) neural network with delays is considered. By employing the inequality b"m"+"1@?"k"="1^mb"k^q^"^k==0,b"k=0,q"k0 with 1+@?"k"="1^mq"k=r,k=1,...,m), applying homotopic mapping and constructing a new Lyapunov functional method, we present some new criteria ensuring globally exponential stability and the existence of periodic oscillatory solution. These results are helpful to design globally exponential stability and periodic oscillatory for BAM neural network with delays.