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Fifth International Conference on Information Technology: New Generations (itng 2008)
A New Congestion Control Algorithm Based on RBFNN
April 07-April 09
ISBN: 978-0-7695-3099-4
This paper presents a new sequential learning algorithm for radial basis function neural network (RBFNN) based on local projection named Local Projection Network (LPN). Earlier studies have shown that RBFNN is well suited for online adaptive control of nonlinear time varying systems as it adjust its size by adding and pruning the hidden neurons based on the input data. Simulation results indicate that RBF with the new algorithm controller performs better in reducing the congestion episodes and maintaining the desirable QoS.
Index Terms:
Congestion Control, ATM, RBFNN
Citation:
Shan Weifeng, Meng Baohong, Zhu Wei, "A New Congestion Control Algorithm Based on RBFNN," itng, pp.1236-1239, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008
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