## New Discrete-Time Recurrent Neural Network Proposal for Quadratic Optimization With General Linear Constraints

- María José Pérez-Ilzarbe
- IEEE Transactions on Neural Networks and Learning…
- 2013

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@article{Tang2010ADN, title={A Discrete-Time Neural Network for Optimization Problems With Hybrid Constraints}, author={Huajin Tang and Haizhou Li and Zhang Yi}, journal={IEEE Transactions on Neural Networks}, year={2010}, volume={21}, pages={1184-1189} }

- Published 2010 in IEEE Transactions on Neural Networks
DOI:10.1109/TNN.2010.2049368

Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathematical properties and well-defined parallel structure. This brief presents a general discrete-time recurrent network for linear variational inequalities and related optimization problems with hybrid constraints. In contrary to the existing discrete-time networks, this general model can operate not only on bound constraints, but… CONTINUE READING