期刊名称：Neural Information Processing: Letters and Reviews
电子版ISSN：1738-2532
出版年度：2006
卷号：10
期号：10
页码：243-248
出版社：Neural Information Processing
摘要：In this paper, we propose a nonpositive Hopfield neural network (NHNN) with self-feedback for
maximum clique problem. By introducing a negative self-feedback to the NHNN, the NHNN can
escape from local minima and therefore get better solutions. A number of instances have been
simulated to verify the proposed algorithm.
nonpositive Hopfield neural network, negative self-feedback, maximum clique problem,
combinatorial optimization problem
