A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network
Due to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. For this purpose, a novel prediction method of network traffic based on QPSO algorithm and fuzzy wav...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2016/4135056 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832553412243226624 |
|---|---|
| author | Kun Zhang Zhao Hu Xiao-Ting Gan Jian-Bo Fang |
| author_facet | Kun Zhang Zhao Hu Xiao-Ting Gan Jian-Bo Fang |
| author_sort | Kun Zhang |
| collection | DOAJ |
| description | Due to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. For this purpose, a novel prediction method of network traffic based on QPSO algorithm and fuzzy wavelet neural network is proposed in this paper. Firstly, quantum-behaved particle swarm optimization (QPSO) was introduced. Then, the structure and operation algorithms of WFNN are presented. The parameters of fuzzy wavelet neural network were optimized by QPSO algorithm. Finally, the QPSO-FWNN could be used in prediction of network traffic simulation successfully and evaluate the performance of different prediction models such as BP neural network, RBF neural network, fuzzy neural network, and FWNN-GA neural network. Simulation results show that QPSO-FWNN has a better precision and stability in calculation. At the same time, the QPSO-FWNN also has better generalization ability, and it has a broad prospect on application. |
| format | Article |
| id | doaj-art-987fcdfa8b0749308f077be9d104ace4 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-987fcdfa8b0749308f077be9d104ace42025-02-03T05:54:03ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/41350564135056A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural NetworkKun Zhang0Zhao Hu1Xiao-Ting Gan2Jian-Bo Fang3School of Mathematics and Statistics, Chuxiong Normal University, Chuxiong, Yunnan 675000, ChinaSchool of Mathematics and Statistics, Chuxiong Normal University, Chuxiong, Yunnan 675000, ChinaSchool of Mathematics and Statistics, Chuxiong Normal University, Chuxiong, Yunnan 675000, ChinaSchool of Mathematics and Statistics, Chuxiong Normal University, Chuxiong, Yunnan 675000, ChinaDue to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. For this purpose, a novel prediction method of network traffic based on QPSO algorithm and fuzzy wavelet neural network is proposed in this paper. Firstly, quantum-behaved particle swarm optimization (QPSO) was introduced. Then, the structure and operation algorithms of WFNN are presented. The parameters of fuzzy wavelet neural network were optimized by QPSO algorithm. Finally, the QPSO-FWNN could be used in prediction of network traffic simulation successfully and evaluate the performance of different prediction models such as BP neural network, RBF neural network, fuzzy neural network, and FWNN-GA neural network. Simulation results show that QPSO-FWNN has a better precision and stability in calculation. At the same time, the QPSO-FWNN also has better generalization ability, and it has a broad prospect on application.http://dx.doi.org/10.1155/2016/4135056 |
| spellingShingle | Kun Zhang Zhao Hu Xiao-Ting Gan Jian-Bo Fang A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network Discrete Dynamics in Nature and Society |
| title | A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network |
| title_full | A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network |
| title_fullStr | A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network |
| title_full_unstemmed | A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network |
| title_short | A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network |
| title_sort | network traffic prediction model based on quantum behaved particle swarm optimization algorithm and fuzzy wavelet neural network |
| url | http://dx.doi.org/10.1155/2016/4135056 |
| work_keys_str_mv | AT kunzhang anetworktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT zhaohu anetworktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT xiaotinggan anetworktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT jianbofang anetworktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT kunzhang networktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT zhaohu networktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT xiaotinggan networktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork AT jianbofang networktrafficpredictionmodelbasedonquantumbehavedparticleswarmoptimizationalgorithmandfuzzywaveletneuralnetwork |