In this paper, a two-layer recurrent neural network is proposed to solve the nonsmooth
convex optimization problem subject to convex inequality and linear equality constraints …

In this paper, a recurrent neural network with a new tunable activation is proposed to solve a
kind of convex quadratic bilevel programming problem. It is proved that the equilibrium point …

In this paper, we study the existence, uniqueness and stability of almost periodic solution for
the class of delayed neural networks. The neural network considered in this paper employs …

This paper investigates the periodic dynamics of a general class of time-varying delayed
neural networks with discontinuous right-hand sides. By employing the topological degree …

This paper proposes a proximal neurodynamic network (PNDN) for solving mixed variational
inequalities based on the proximal operator. It is shown that the proposed PNDN is globally …

This paper proposes a one-layer recurrent neural network for solving nonlinear nonsmooth
pseudoconvex optimization problem subject to linear equality constraints. We first prove that …

A continuous finite-time neural network with bias noises is proposed to solve the convex
quadratic bilevel programming problem in this paper. In order to solve the convex quadratic …

In this paper, we investigate the global dynamics of equilibrium point for delayed competitive
neural networks with different time scales and discontinuous activations. Employing the …

First-order linear time invariant and time-delayed dynamics of neutral type is taken into
account with three rationally independent delays. There are two main contributions of this …

This paper investigates the qualitative behavior of a new class of fuzzy Cohen–Grossberg
neural networks with discontinuous neuron activations and mixed delays. Roughly …