Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Shuzhen Bai
Nanning College for Vocational

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Network Traffic Prediction Algorithm based on Improved Chaos Particle Swarm SVM Shuzhen Bai
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract—Because network traffic is complexand the existingprediction models have various limitations, a new network traffic prediction model based on wavelettransform and optimized support vector machine(ChOSVM) is proposed.Firstly, the network traffic is decomposed to the scale coefficients andwavelet coefficients by non-decimated wavelet transform based on suitablewavelet base and decomposition level. Then they are sent individually intodifferent SVM with suitable kernel function for prediction. The parameters ofSVM are selected by chaos particle swarm optimization. Finally predictions arecombined into the final result by wavelet reconstruction. Experiments onnetwork traffic of different time granularity show that compared with othernetwork traffic prediction models, ChOSVM has better performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4802
Co-Authors