DocumentCode
3216024
Title
A novel algorithm for shortest path problem based on pulse coupled neural network
Author
Wu Xueli ; Gu Yapei ; Zhang Jianhua
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear
2015
fDate
23-25 May 2015
Firstpage
2468
Lastpage
2473
Abstract
This article brings forward a novel approach for collision free shortest path based on the autowave propagation characteristic of Pulse Couple Neural Network´s. The proposed algorithm can find the shortest path quickly and accurately by rapid parallel computation, and has simper structure compared with the traditional method. In this work, the theories of the proposed algorithm have been analyzed in detail, and the specific algorithm and the experimental results have been put forward. Simulations are carried out to illustrate the performance of the proposed method.
Keywords
combinatorial mathematics; neural nets; optimisation; autowave propagation characteristic; collision free shortest path; pulse coupled neural network; rapid parallel computation; shortest path problem; Analytical models; Computational modeling; Fires; Firing; Neurons; Path planning; Shortest path problem; Autowave; Collision free; Path planning; Pulse Couple Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162336
Filename
7162336
Link To Document