Prediction of Ethernet Traffic by FIR Neural Network
XU Rong-sheng · Jisuanji gongcheng · 2006
To predict the Ethernet traffic,R/S analysis is done firstly to get the Hurst coefficient and choose the suitable network architecture,then,prediction results are compared while the order of the FIR filter or the training algorithms(Wan or Back-Tsio algorithms) are varied.The results show that the order of FIR filter depends on the cycle of the traffic and Wan algorithm is more accurate for predicting network traffic whose Hurst coefficient is near 1.