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: | Kun Zhang, Zhao Hu, Xiao-Ting Gan, Jian-Bo Fang |
---|---|
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!
|
Similar Items
-
Cooperative Quantum-Behaved Particle Swarm Optimization with Dynamic Varying Search Areas and Lévy Flight Disturbance
by: Desheng Li
Published: (2014-01-01) -
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism
by: Fei Han, et al.
Published: (2018-01-01) -
Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network
by: Xu Hu, et al.
Published: (2025-01-01) -
The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization
by: Fei Yin, et al.
Published: (2021-01-01) -
Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes
by: Cillian Thompson, et al.
Published: (2024-03-01)