A Novel Approach for a Routing Algorithm Based on a Discrete Time Hopfield Neural Network

Author

Bastos-Filho, C.J.A. ; Santana, R.A. ; Oliveira, A.L.I.

Author_Institution

Dept. of Comput. Syst., UPE, Recife

fYear

2007

fDate

1-5 April 2007

Firstpage

363

Lastpage

369

Abstract

This article proposes a new approach to accelerate the routing algorithm based on Hopfield neural network. We showed that one can calculate the best route in terms of cost in a network using a discrete equation instead of the common used differential formulation. We also demonstrated that the formulation based on discrete parameters outperforms the well known formulation in terms of simulation time

Keywords

Hopfield neural nets; differential equations; discrete time systems; telecommunication network routing; communication network; discrete equation; discrete time Hopfield neural network; routing algorithm; Artificial neural networks; Communication networks; Computational intelligence; Computer networks; Costs; Differential equations; Hopfield neural networks; Neurons; Quality of service; Routing; Communication network; Hopfield neural network; Routing; Shortest path;

fLanguage

English

Publisher

ieee

Conference_Titel

Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0703-6

Type

conf

DOI

10.1109/FOCI.2007.371497

Filename

4233931

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2821196