A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application

Abstract

The design, analysis, and application of a new recurrent neural network for quadratic programming, called simplified dual neural network, are discussed. The analysis mainly concentrates on the convergence property and the computational complexity of the neural network. The simplified dual neural network is shown to be globally convergent to the exact… (More)
DOI: 10.1109/TNN.2006.881046

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