his article presents a novel neural network (NN) based on NCP function for solving nonconvex nonlinear optimization (NCNO) problem subject to nonlinear inequality constraints. We first apply the p-power convexification ...

In this paper we present a novel recurrent neural network for solving convex nonlinear

programming problems. The proposed neural network is derived based on an NCP function, and one

of the prominent features ...

Byp-power (or partial p-power) transformation, the

Lagrangian function in nonconvex optimization problem becomes

locally convex. In this paper, we present a neural network based on

an NCP function for ...

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This paper presents a neural network based on NCP function to solve a class of nonconvex nonlinear optimization (NCNO) problems. The proposed neural network is a gradient model, which is constructed with an NCP

function ...