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