This paper considers generalized discrete-time inertial neural network (GDINN). By
timescale theory, the original network is rewritten as a timescale-type inertial NN. Two …

The existed results of Lagrange stability for neural networks (NNs) are scale-free, and
hence, conservativeness appears naturally. A class of Takagi-Sugeno (TS) fuzzy memristive …

A class of Takagi-Sugeno (TS) fuzzy memristor-based inertial neural networks (FMINNs) is
studied on time scales. The second-order derivative of the state variable in the network …

In this paper, we explore the coexistence and dynamical behaviors of multiple equilibrium
points for fractional-order competitive neural networks with Gaussian activation functions. By …

The existed results of Lagrange stability and finite-time synchronization for memristive
recurrent neural networks (MRNNs) are scale-free on time evolvement, and some …

In the paper, synchronization of coupled neural networks with delayed impulses is
investigated. In order to overcome the difficulty that time delays can be flexible and even …

This paper addresses the problem of coexistence and dynamical behaviors of multiple
equilibria for competitive neural networks. First, a general class of discontinuous …

This paper investigates the coexistence and local stability of multiple equilibrium points for
competitive neural networks, where the Gaussian-wavelet-type activation functions are …

This paper is concerned with the problem of coexistence and dynamical behaviors of
multiple equilibrium points for neural networks with discontinuous non-monotonic piecewise …

The problem of coexistence and dynamical behaviors of multiple equilibrium points is
addressed for a class of memristive Cohen–Grossberg neural networks with non-monotonic …