Noisy chaotic neural networks for delay constrained multicast routing

Wen Liu*, Lipo Wang, Haixiang Shi

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

The QoS constrained multicast routing is studied widely these years due to the development of multimedia applications such as video-conferencing and video-on-demand. We apply noisy chaotic neural networks (NCNN) on the delay constrained multicast routing problem. The NCNN has richer and more flexible dynamics, and therefore is more efficient compared with the conventional Hopfield neural network as the latter is often trapped at local minima.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007
Pages267-270
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007 - Honolulu, HI, United States
Duration: 1 Apr 20075 Apr 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007

Conference

Conference2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period1/04/075/04/07

Cite this