Title :
Video traffic modeling based on RBF networks
Author :
Simin, Xiong ; Jinsong, Liang ; Zhimin, Yang ; Zhengming, Lei
Author_Institution :
Dept. of Telecom. Eng., Chongqing Univ. of Posts & Telecom., China
Abstract :
The basis of traffic and congestion control in the ATM network lies in the traffic modeling. Due to the variety of services and high transmitting speed, the traditional analytical methods become intractable. As an alternative, a radial basis function (RBF) neural network has been adopted for video traffic modeling. In this paper, an LBG algorithm based and Hestenes singular value decomposition (SVD) method has been proposed to select the centers of the hidden layer neuron and to calculate the weights of the output layer synapse in the RBF network. To evaluate the proposed approach, movie data have been utilized in several experiments
Keywords :
asynchronous transfer mode; radial basis function networks; telecommunication congestion control; telecommunication networks; telecommunication traffic; visual communication; ATM network; LBG algorithm; RBF networks; RBF neural networks; SVD; congestion control; experiments; hidden layer neuron; output layer synapse weight; radial basis function; singular value decomposition; transmitting speed; video traffic modeling; Asynchronous transfer mode; B-ISDN; Communication system traffic control; Neural networks; Neurons; Predictive models; Quality of service; Radial basis function networks; Telecommunication traffic; Traffic control;
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
DOI :
10.1109/ICCT.1998.741067
