In this paper, an inverse-free dynamical system is built to solve the absolute value equations
(AVEs), whose equilibrium points coincide with the solutions of the AVEs. Under proper …

This article proposes a novel fixed-time converging forward-backward-forward
neurodynamic network (FXFNN) to deal with mixed variational inequalities (MVIs). A …

This article proposes a novel fixed-time converging proximal neurodynamic network
(FXPNN) via a proximal operator to deal with equilibrium problems (EPs). A distinctive …

In this study, a novel application of intelligent computing by the exploitation of a supervised
neural networks (SNNs) optimized with the Levenberg–Marquardt method (LMM) is …

This article provides a novel projection neural network (PNN) for a category of monotone
variational inequality (MVI). For simplifying calculation, the feasible region of MVI is …

In this paper, the analytic solution of the absolute value equations (AVE) is investigated. As
far as we know, there are some numerical methods to obtain the solution of the AVE …

To obtain the optimal solution to the time-varying quadratic programming (TVQP) problem
with equality and multitype inequality constraints, a penalty strategy combined varying …

In this study, a computational intelligence technique is developed to find the solutions of
nonlinear Mathieu system arising in parameter excitation, vertically derive pendulum and …

Recent reports show that projection neural networks with a low-dimensional state space can
enhance computation speed obviously. This paper proposes two projection neural networks …

In this paper, we propose a novel modified neurodynamic network (MNN) based on
projection to solve pseudomonotone variational inequalities. Under the strong pseudo …