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2 November 2022 Improved EMD-PSO-LSSVM train wireless network time-delay prediction
S. K. Dou, L. Y. Zhang, C. X. Li
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Proceedings Volume 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022); 124550M (2022) https://doi.org/10.1117/12.2655218
Event: International Conference on Signal Processing and Communication Security (ICSPCS 2022), 2022, Dalian, China
Abstract
A time delay prediction method of train network based on wireless transmission is proposed. EMD is used to decompose the time delay series. The decomposed components with large sample entropy are DWT to form new components, in order to reduce the complexity of prediction. The components with similar sample entropy are combined into new components to reduce the amount of model calculation. Finally, each data component is predicted by particle swarm optimization LSSVM model. The simulation results show that the proposed method has high prediction accuracy.
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S. K. Dou, L. Y. Zhang, and C. X. Li "Improved EMD-PSO-LSSVM train wireless network time-delay prediction", Proc. SPIE 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022), 124550M (2 November 2022); https://doi.org/10.1117/12.2655218
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KEYWORDS
Particle swarm optimization
Discrete wavelet transforms
Error analysis
Signal processing
Standards development
Statistical modeling
Wireless communications
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