#7898. Using PSO-SVR Algorithm to Predict Asphalt Pavement Performance
October 2026 | publication date |
Proposal available till | 31-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Architecture;
Building and Construction;
Human Factors and Ergonomics; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
Because of the relatively low accuracy of the current asphalt pavement performance prediction, a new pavement performance prediction model was established based on the particle swarm optimization (PSO) algorithm and support vector machine regression (SVR) algorithm. First, the SVR algorithm was introduced into the model to deal with the nonlinear regression. Then the PSO algorithm was applied to improve the searching efficiency and parameter continuity of the SVR algorithm.
Keywords:
Asphalt pavement; Particle swarm optimization (PSO) algorithm; Performance prediction; Regression model; Support vector machine
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