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


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


12 Figures and Tables


Citations per Year

398 Citations

Semantic Scholar estimates that this publication has 398 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics