DocumentCode
2709846
Title
Noisy Chaotic Neural Networks For Delay Constrained Multicast Routing
Author
Liu, Wen ; Wang, Lipo ; Shi, Haixiang
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
fYear
2007
fDate
1-5 April 2007
Firstpage
267
Lastpage
270
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
Keywords
chaotic communication; multicast communication; neural nets; quality of service; telecommunication computing; telecommunication network routing; delay constrained multicast routing; multimedia applications; noisy chaotic neural networks; quality of service; video-conferencing; video-on-demand; Chaos; Chaotic communication; Computer networks; Costs; Delay; Hopfield neural networks; Neural networks; Neurons; Quality of service; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0704-4
Type
conf
DOI
10.1109/SCIS.2007.367700
Filename
4218627
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