Abstract
Based on the grey system theory, the GM (1, 1) forecast model of the lock freight volume is established. The particle swarm optimization and the least square method are adopted respectively to compute the model parameters. Consequent results are analyzed and compared, which shows the particle swarm optimization is better than the least square method. The future lock freight volume is predicted by using the model and the grey forecast method based particle swarm optimization is recommended to be used in the waterway engineering.
| Original language | English |
|---|---|
| Pages (from-to) | 1135-1138 |
| Number of pages | 4 |
| Journal | Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) |
| Volume | 35 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2011 |
| Externally published | Yes |
Keywords
- Forecast model
- Freight volume
- Grey theory
- Lock
- Particle swarm optimization
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