Research Article
Data-Driven Dynamic Modeling for Prediction of Molten Iron Silicon Content Using ELM with Self-Feedback
Table 3
Some data statistics of each algorithm.
| Algorithm | (testing) | RMSE (testing) | Time (seconds) | Training | Testing |
| BP NN without SFB | 0.0827 | 0.1293 | 0.849955 | 0.013285 | BP NN with SFB | 0.0804 | 0.1272 | 0.926292 | 0.013828 | ELM without SFB | 0.0770 | 0.1187 | 0.000678 | 0.000072 | ELM with SFB | 0.0355 | 0.1106 | 0.000546 | 0.000089 |
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