Chaotic characteristic analysis and prediction of bottleneck-delay time series under the Internet macro-topology
Author:
Funder
National Natural Science Foundation of China
Planning Research Foundation of Social Science of the Ministry of Education of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1140/epjp/s13360-024-05312-x.pdf
Reference67 articles.
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3. W.J. Huang, Y.T. Li, Y. Huang, Prediction of chaotic time series using hybrid neural network and attention mechanism. Acta Phys. Sin. 70(1), 010501 (2021). https://doi.org/10.7498/aps.70.20200899
4. K. Babanli, R.O. Kabaoğlu, Fuzzy modeling of desired chaotic behavior in secure communication systems. Inf. Sci. 594, 217–232 (2022). https://doi.org/10.1016/j.ins.2022.02.020
5. A. Abbes, A. Ouannas, A.N. Shawagfeh, An incommensurate fractional discrete macroeconomic system: bifurcation, chaos, and complexity. Chin. Phys. B 32(3), 030203 (2023). https://doi.org/10.1088/1674-1056/ac7296
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