Research Article
An ELM-Based Approach for Estimating Train Dwell Time in Urban Rail Traffic
Table 2
Comparison of performance of ELM, LMBP, and SVM on SDPST data set.
| Algorithms | āNumber of nodes/SVs | Time (s) | RMSE | Training | Testing | Training | Testing |
| ELM | 65 | 0.1358 | 0.4128 | 0.0865 | 0.0945 | LMBP | 20 | 2.1722 | 0.0986 | 0.0904 | 0.1218 | SVM | 310.24 | 4.6375 | 1.2519 | 0.0853 | 0.1046 |
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