QQ客服 官方微博 反馈留言

	Autowave-competition neural network and its application to the single-source shortest-paths problem
	Dong, J. Y. ; Zhang, J. Y. ; Chen, Z. ; Dong JY(董继扬)
	2007-09
关键词	ALGORITHMS
英文摘要	In this paper, the competitive mechanism is introduced to the production and propagation processes of the autowave of neural network. The autowave-competition neural network (ACNN) is proposed to successfully resolve the problem of single-source shortest paths (SSSP). The algorithm for shortest paths based on ACNN is presented. Compared with other neural network based approaches, the new algorithm has the following advantages: less number of neurons needed, simple structure of neurons and networks, readily available software and hardware. When ACNN is employed to resolve the shortest path problem, the computational complexity is only related to the hop number of the shortest path, but independent of the complexity of path graph, the number of the existing paths in the graph and the precision of the length of edges. Simulations show that the proposed algorithm is plausible and effictive.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/69788]
专题	物理技术－已发表论文
推荐引用方式 GB/T 7714	Dong, J. Y.,Zhang, J. Y.,Chen, Z.,et al. Autowave-competition neural network and its application to the single-source shortest-paths problem[J],2007.
APA	Dong, J. Y.,Zhang, J. Y.,Chen, Z.,&董继扬.(2007).Autowave-competition neural network and its application to the single-source shortest-paths problem..
MLA	Dong, J. Y.,et al."Autowave-competition neural network and its application to the single-source shortest-paths problem".(2007).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。