Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns

Table 4

Performance indices of the selected neuron and selection of the best neuron.

S. no	Neuron	R^2	MAPE (%)	MAE (kN)	RMSE (kN)	NS	a-20 index
1	3	0.9846	10.7206	58.0916	84.8553	0.9845	0.8686
2	4	0.9846	10.7206	58.0916	84.8553	0.9845	0.8686
3	5	0.9859	9.4113	50.8701	81.8401	0.9855	0.8759
4	6	0.9842	11.1574	60.6778	88.9969	0.9829	0.8175
5	7	0.9740	16.8373	67.5812	114.7180	0.9716	0.8102
6	8	0.9811	17.8737	83.0355	110.8595	0.9735	0.7883
7	9	0.9828	11.4321	58.0129	91.4494	0.9819	0.8248
8	10	0.9880	10.9737	52.6464	74.6723	0.9880	0.8248
9	11	0.9726	11.8004	51.4994	114.5017	0.9717	0.8613
10	12	0.9611	34.4218	82.3478	139.0856	0.9583	0.8102
11	13	0.9887	8.3102	48.3474	72.5273	0.9886	0.8978
12	14	0.9849	10.9992	51.0480	83.9931	0.9848	0.8686
13	15	0.9804	23.6002	68.6299	98.2182	0.9792	0.7810