| 一种用于解决TSP问题的新的Hopfield网络 |
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| 引用本文： | 干能强,杜宏明. 一种用于解决TSP问题的新的Hopfield网络[J]. 重庆理工大学学报(自然科学版), 2008, 22(3): 32-35 |
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| 作者姓名： | 干能强 杜宏明 |
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| 作者单位： | 西南交通大学 成都610031 |
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| 摘 要： | 针对Hopfield网络在解TSP问题时出现的存在无效解和收敛速度慢的问题,提出一种正的自反馈Hopfield网络.通过仿真可以看出,该网络在解决TSP问题上易获得有效解,同时还具有收敛速度快和迭代次数少的优点.
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| 关 键 词： | 旅行商最优路径问题 正的自反馈Hopfield网络 优化 |
A New Hopfield Network Used to Solve TSP Problems |
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| GAN Neng-qiang,DU Hong-ming. A New Hopfield Network Used to Solve TSP Problems[J]. Journal of Chongqing University of Technology(Natural Science), 2008, 22(3): 32-35 |
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| Authors: | GAN Neng-qiang DU Hong-ming |
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| Abstract: | In solving the traveling salesman problem(TSP) with the Hopfield network,there are problems of getting invalid solutions and having low convergence rate.This paper introduces Hopfield neural networks with positive self-feedbacks.From simulations,it can be seen that it has some advantages in solving the TSP problem such as obtaining effective solution easily,fast convergence rate and less iterations. |
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| Keywords: | TSP Hopfield neural networks with positive self-feedbacks optimization |
| 本文献已被 CNKI 维普 等数据库收录！ |
