The use of artificial neural networks for optimal message routing

Author

Wang, Chia-Jiu ; Weissler, Paul N.

Author_Institution

Colorado Univ., Colorado Springs, CO, USA

Volume

9

Issue

2

fYear

1995

Firstpage

16

Lastpage

24

Abstract

Artificial neural networks are being designed to exploit the unique computational power of the human brain. A brief review of neural networks and their applications in communications is presented. Following that, the neural network solutions to the routing problems are given. Simulation results and performance comparisons are discussed. A comparison between the neural approach and other popular routing algorithms such as Bellman-Ford´s and Dijkstra´s algorithms is then presented. The practical significance of this new routing algorithm is discussed and further research work is suggested

Keywords

Hopfield neural nets; telecommunication computing; telecommunication network routing; Bellman-Ford´s algorithm; Dijkstra´s algorithm; Hopfield network; JEB network; artificial neural networks; computational power; computationally complex tasks; human information processing system; neurons; optimal message routing; performance; simulation; speech understanding; visual recognition; Artificial neural networks; Biological neural networks; Broadcasting; Computer networks; Cost function; Humans; Power engineering and energy; Power engineering computing; Routing; Telecommunication traffic;

fLanguage

English

Journal_Title

Network, IEEE

Publisher

ieee

ISSN

0890-8044

Type

jour

DOI

10.1109/65.372652

Filename

372652