Title :
QoS routing with inaccurate information based on Hopfield neural network
Author :
Wang, Li ; Shen, Jin-yuan ; Chang, Sheng-Jiang ; Zhang, Yan-Xin
Author_Institution :
Inst. of Modern Opt., Nankai Univ., Tianjin
Abstract :
In this paper, a Hopfield neural network (HNN)-based method is proposed to solve the QoS routing problem with inaccurate information, i.e. the OP-MP (optimally partitioned most probable path) problem. The general principles involved in this kind of routing problem and the design of the proposed HNN are presented, followed by a computer simulation. The demonstration shows that such an HNN-based method can find the correct result rapidly
Keywords :
Hopfield neural nets; graph theory; quality of service; telecommunication network routing; Hopfield neural network; QoS routing; optimally partitioned most probable path problem; Bandwidth; Computer simulation; Delay; Educational institutions; Electronic mail; Hopfield neural networks; Neurons; Polynomials; Routing; Uncertainty;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614786
