Adaptive Linear and Normalized Combination of Radial Basis Function Networks for Function Approximation and Regression

Table 4

Regression results in terms of mean-squared error (MSE), normalized correlation coefficient (NCC), and computation time consumption (CTC in ms).

Data set name	Evaluation	RBFN	Bagging	Bootstrap-ALNC
Abalone	MSE	4.7755 ± 0.0298	4.6753 ± 0.0167	4.4646 ± 0.0098
	NCC (%)	97.7867 ± 0.0139	97.8340 ± 0.0102	97.9335 ± 0.0075
	CTC (ms)		11.22 ± 3.51	9.78 ± 0.85
Housing	MSE	70.9045 ± 1.1676	69.3435 ± 0.6351	67.1779 ± 0.4001
	NCC (%)	93.8500 ± 0.0944	93.9970 ± 0.0704	94.1718 ± 0.0568
	CTC (ms)		8.62 ± 1.33	7.11 ± 0.88
Auto-MPG	MSE	56.1797 ± 0.2687	55.9879 ± 0.1305	55.8517 ± 0.1038
	NCC (%)	95.3166 ± 0.0228	95.3338 ± 0.0201	95.3422 ± 0.0185
	CTC (ms)		6.33 ± 0.71	5.65 ± 0.57
Stock	MSE	35.8967 ± 4.9799	32.8325 ± 3.7468	30.0116 ± 2.5311
	NCC (%)	99.2006 ± 0.1122	99.2685 ± 0.0942	99.3332 ± 0.0886
	CTC (ms)		8.31 ± 1.05	7.28 ± 0.86
Bolt	MSE	449.5107 ± 37.2104	426.5834 ± 28.1695	398.0151 ± 19.3207
	NCC (%)	87.6304 ± 0.9843	88.4725 ± 0.8702	89.0087 ± 0.7596
	CTC (ms)		4.32 ± 0.58	3.48 ± 0.22
CPS-85-Wages	MSE	23.5167 ± 0.8882	21.7593 ± 0.6251	17.9419 ± 0.3058
	NCC (%)	88.4300 ± 0.4704	89.3703 ± 0.4107	91.3259 ± 0.3622
	CTC (ms)		7.78 ± 1.24	6.95 ± 1.06