A well known bidirectional associative memory (BAM) model is generalized with the
introduction of discrete time delays in the leakage (or forgetting) terms. By using a model …

In this paper, the exponential stability problem is investigated for a class of Cohen–
Grossberg-type bidirectional associative memory neural networks with time-varying delays …

In this paper, without assuming the boundedness, monotonicity and differentiability of the
activation functions, we present new conditions ensuring existence, uniqueness, and global …

Sufficient conditions are obtained for the existence and global exponential stability of a
unique equilibrium of a class of two-layer heteroassociative networks called bidirectional …

Stochastic effects to the stability property of Hopfield neural networks (HNN) with discrete
and continuously distributed delay are considered. By using the method of variation …

In this Letter, a model describing dynamics of bidirectional associative memory (BAM) neural
networks with distributed delays is considered. Existence and uniqueness of the equilibrium …

In this paper, the Cohen–Grossberg neural network model with both time-varying and
continuously distributed delays is considered. Without assuming both global Lipschitz …

In this paper, the Cohen–Grossberg neural network models without and with time delays are
considered. By constructing several novel Lyapunov functionals, some sufficient criteria for …

Bidirectional Associative Memories (BAM) are systems that allow to associate pairs of
patterns. Once a memory has learned, patterns can be recalled in two directions. BAMs have …

Two sufficient conditions, which ensure the existence and uniqueness of the equilibrium
point and global exponential stability of bi-directional associative memory (BAM) neural …