In this paper, we study a class of discrete-time fuzzy BAM neural networks with variable
delays and impulses. Based on M-matrix theory and analytic methods, some sufficient …

A continuous-time network with piecewise linear neuron input-output characteristics is
proposed for optimization applications. Certain qualitative properties of the network of …

In this paper we investigate multistability of Hopfield-type neural networks with distributed
delays and impulses, by using Lyapunov functionals, stability theory and control by …

The existence of multiple periodic solutions and their exponential stability are investigated
for impulsive hybrid Hopfield-type neural networks with both time-dependent and distributed …

The last decade has seen the re-emergence of artificial neural networks as an alternative to
traditional modelling techniques for the control of nonlinear systems. Numerous control …

In this paper, stability properties such as eventual practical stability and uniform practical
stability of Hopfield-type neural networks are discussed employing vector Lyapunov …

The dependence of the steady states on the external input vector I for the continuous-time
and discrete-time Hopfield-type neural networks of n neurons is discussed. Conditions for …

The twin volumes of Lecture Notes in Computer Science constitute the proceedings of the
14th International Symposium on Neural Networks (ISNN 2017) held during June 21–26 …

The significant characteristic of bursty traf-fic is self-similarity. Self-similarity is the main
reason for observing the burst within burst patterns across a wide range of time scales. This …

Although chaotic systems have received increasing attention over the past two decades,
traditional modeling tools have always encountered considerable analytical and numerical …