This paper investigates the convergence theorems of DHNNs with delay, based on new updating modes. A new bivariate energy function is constructed which ...
Abstract--It is well known that Discrete Hopfield Neural. Networks (DH"s) without delay converge to a stable state. Due to this property, DHNNs without ...
This letter investigates convergence theorems of a DHNN with delay. We present one generalized updating rule for serial mode. The condition for convergence ...
Missing: networks time-
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The stability of discrete Hopfield neural networks with delay is mainly studied by the use of the state transition equation and the energy function, ...
It is proved that DHNNs with delay converge to a stable state and a new bivariate energy function is constructed which represents the relationships between ...
Abstract. In this paper, a general setting is presented to study the exponential stability of discrete-time systems with bounded or unbounded delays.
In this paper, the stability of Hopfield neural network with delay is studied. By making use of the Lyapunov stability theorem, a measuring method of asymptotic ...
A stability criterion of Discrete Hopfield Neural Networks with Multple Delays ... Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time ...
The original Hopfield neural networks model is adapted so that the weights of the resulting network are time varying. In this paper, the Discrete Hopfield ...
Several new sufficient conditions for the networks with delay converging towards a stable state are obtained. The obtained results here generalize the existing ...