DocumentCode
1905777
Title
An asynchronous neural network model for shortest path problem
Author
Zhao, Songhe ; Dillon, T.S.
Author_Institution
Expert intelligen Syst. Lab., La Trobe Univ., Bundoora, Vic., Australia
fYear
1993
fDate
1993
Firstpage
972
Abstract
Most neural network models are energy based models and there is no guarantee that the network converges to a global optimal solution. A new neural shortest path network model is proposed in which no special convergence procedure needs to be performed. The network can work in a purely asynchronous mode, and is guaranteed to reach the global optimal solution
Keywords
neural nets; optimisation; asynchronous neural network model; global optimal solution; purely asynchronous mode; shortest path problem; Algorithm design and analysis; Computer networks; Computer science; Intelligent networks; Intelligent systems; Laboratories; Neural networks; Neurons; Power engineering and energy; Shortest path problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298689
Filename
298689
Link To Document