Application of an Optimized Support Vector Regression Algorithm in Short-Term Traffic Flow Prediction
Ruibo Ai, Cheng Li, Na Li, Journal of Information Processing Systems Vol. 18, No. 6, pp. 719-728, Dec. 2022
https://doi.org/10.3745/JIPS.02.0185
Keywords: Artificial bee colony algorithm, Optimization, prediction algorithm, Short-time Traffic Flow, Support Vector Regression
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Cite this article
[APA Style]
Ai, R., Li, C., & Li, N. (2022). Application of an Optimized Support Vector Regression Algorithm in Short-Term Traffic Flow Prediction. Journal of Information Processing Systems, 18(6), 719-728. DOI: 10.3745/JIPS.02.0185.
[IEEE Style]
R. Ai, C. Li, N. Li, "Application of an Optimized Support Vector Regression Algorithm in Short-Term Traffic Flow Prediction," Journal of Information Processing Systems, vol. 18, no. 6, pp. 719-728, 2022. DOI: 10.3745/JIPS.02.0185.
[ACM Style]
Ruibo Ai, Cheng Li, and Na Li. 2022. Application of an Optimized Support Vector Regression Algorithm in Short-Term Traffic Flow Prediction. Journal of Information Processing Systems, 18, 6, (2022), 719-728. DOI: 10.3745/JIPS.02.0185.