Training Spiking Neural Models Using Artificial Bee Colony

Table 1

Statistical results obtained with the proposed methodology.

Dataset	Mean		Confidence intervals
	Tr. cr.	Te. cr.	TR	TE
Wine	0.963 ± 0.015	0.878 ± 0.038	[0.957–0.968]	[0.864–0.892]
Iris plant	0.996 ± 0.006	0.957 ± 0.025	[0.994–0.999]	[0.948–0.967]
Glass	0.832 ± 0.029	0.703 ± 0.064	[0.822–0.843]	[0.679–0.727]
Diabetes	0.800 ± 0.016	0.743 ± 0.024	[0.794–0.806]	[0.734–0.752]
Liver	0.749 ± 0.024	0.688 ± 0.034	[0.740–0.757]	[0.675–0.700]
Object recognition	1.000 ± 0.000	0.990 ± 0.021	[1.000-1.000]	[0.982–0.998]

Tr. cr = training classification rate, Te. cr. = testing classification rate.