Maximum neural network with nonlinear self-feedback for maximum clique problem

@article{Wang2004MaximumNN,
  title={Maximum neural network with nonlinear self-feedback for maximum clique problem},
  author={Jiahai Wang and Zheng Tang and Rong Long Wang},
  journal={Neurocomputing},
  year={2004},
  volume={57},
  pages={485-492}
}
In this paper, by adding a nonlinear self-feedback to the maximum neural network, we propose a parallel algorithm for the maximum clique problem that introduces richer and more 0exible dynamics and can prevent the network from getting stuck at local minima. A large number of instances have been simulated to verify the proposed algorithm. c © 2004 Elsevier B.V. All rights reserved.