A Discrete-Time Neural Network for Optimization Problems With Hybrid Constraints

@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}
}
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