A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations

Abstract

This paper presents a recurrent neural network for solving strict convex quadratic programming problems and related linear piecewise equations. Compared with the existing neural networks for quadratic program, the proposed neural network has a one-layer structure with a low model complexity. Moreover, the proposed neural network is shown to have a finite… (More)
DOI: 10.1016/j.neunet.2004.05.006

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