A feedback neural network for solving convex constraint optimization problems

@article{Yang2008AFN,
  title={A feedback neural network for solving convex constraint optimization problems},
  author={Yongqing Yang and Jinde Cao},
  journal={Applied Mathematics and Computation},
  year={2008},
  volume={201},
  pages={340-350}
}
In this paper, a feedback neural network model is presented by two steps. Firstly, a convex sub-optimization problem with bound constraints is established by introducing an energy function and the neural subnetwork for solving the suboptimization problem is constructed based on the projection method. Secondly, a feedback neural network is proposed by using the subnetwork and can converge to an exact optimal solution of primal optimization problem. The distinguishing features of the proposed… CONTINUE READING

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