A Study of the Evolution of Compositional Techniques Applying Time Series Analysis
21 mar 2025
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Pubblicato online: 21 mar 2025
Ricevuto: 04 nov 2024
Accettato: 07 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0604
Parole chiave
© 2025 Han Li, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Forecast output is compared with actual output
| Time | Actual value | Predictive value | Mean relative error |
|---|---|---|---|
| 2023.9.1~2023.9.5 | 5951,6051,6771,6447,6728 | 5836,5661,5699,5773,5798 | 9.822% |
| 2023.9.6~2023.9.10 | 6335,6820,5899,6317,7149 | 5875,5898,5770,5769,5744 | 10.132% |
| 2023.9.11~2023.9.16 | 6758,6878,6480,6632,6021 | 5758,5773,5790,5809,5754 | 12.633% |
| 2023.9.16~2023.9.20 | 5933,7103,6874,6686,7065 | 5741,5765,5726,5739,5727 | 15.624% |
| 2023.9.21~2023.9.25 | 7101,6096,6798,6555,6797 | 5719,5697,5715,5683,5715 | 12.326% |
| 2023.9.26~2023.9.30 | 6902,6338,6291,6070,5962 | 5687,5684,5609,5657,5688 | 9.952% |