Highly Influenced

@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} }

- Published 2004 in Neurocomputing
DOI:10.1016/j.neucom.2004.01.001

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.