TY - GEN
T1 - Network traffic prediction based on improved BP wavelet neural network
AU - Wang, Peng
AU - Liu, Yuan
PY - 2008
Y1 - 2008
N2 - Considering that traditional BP wavelet neural network (BPWNN) is easy to take local convergence and has slowly learning convergent velocity. We apply a method based on adaptive learning rate to optimize it in accelerating the learning convergent velocity. In prediction, firstly, denoised the traffic time series with wavelet packet transform to improve the prediction precision, then compared the ability of BP neural network (BPNN) and improved BPWNN (IBPWNN)to the prediction of network traffic. The emulation experiment results indicate that in the case of one-step prediction, BPNN and IBPWNN have similar prediction precision, however, in the case of multi-step prediction; the BPNN has low prediction precision, while the IBPWNN still performs a good ability to prediction.
AB - Considering that traditional BP wavelet neural network (BPWNN) is easy to take local convergence and has slowly learning convergent velocity. We apply a method based on adaptive learning rate to optimize it in accelerating the learning convergent velocity. In prediction, firstly, denoised the traffic time series with wavelet packet transform to improve the prediction precision, then compared the ability of BP neural network (BPNN) and improved BPWNN (IBPWNN)to the prediction of network traffic. The emulation experiment results indicate that in the case of one-step prediction, BPNN and IBPWNN have similar prediction precision, however, in the case of multi-step prediction; the BPNN has low prediction precision, while the IBPWNN still performs a good ability to prediction.
KW - Network traffic predictio n
KW - Wavelet neural network
KW - Wavelet packet
KW - Wavelet packet De-noising
UR - http://www.scopus.com/inward/record.url?scp=58049095653&partnerID=8YFLogxK
U2 - 10.1109/WiCom.2008.1064
DO - 10.1109/WiCom.2008.1064
M3 - Conference contribution
AN - SCOPUS:58049095653
SN - 9781424421084
T3 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
BT - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
T2 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Y2 - 12 October 2008 through 14 October 2008
ER -