Modeling NOx Emissions with an Intelligent Combinatorial Algorithm

Table 4

Comparative results with different evaluation criteria.

Datasets	Performance index	BP	Elman	ELM	LSSVM	MICA
T1	MAPE	0.021922	0.037648	0.030312	0.017279	0.0093577
	RMSE	6.7636	10.737	9.2816	5.7475	3.8705
	MAE	4.6308	7.9483	6.4739	3.7111	2.0177
	R2	0.96564	0.91276	0.93255	0.97412	0.98827
T2	MAPE	0.016702	0.034262	0.029356	0.0099125	0.0061889
	RMSE	6.697	9.888	8.8721	5.3717	4.4285
	MAE	3.5601	7.1228	6.0779	2.1552	1.3058
	R2	0.97127	0.93843	0.94887	0.98133	0.98729
T3	MAPE	0.018918	0.049245	0.029788	0.012914	0.0074429
	RMSE	9.1382	17.444	14.03	8.3502	6.5442
	MAE	4.6028	11.752	7.2196	3.2876	1.9638
	R2	0.96319	0.87212	0.91324	0.96893	0.98097