Training Spiking Neural Models Using Artificial Bee Colony

Table 2

Average accuracy provided by the methods using different databases.

Dataset	Method using DE		Method using PSO		Method using CS
	Tr. cr.	Te. cr.	Tr. cr.	Te. cr.	Tr. cr.	Te. cr.
Wine	0.9796	0.8744	0.9782	0.8879	0.9831	0.9078
Iris plant	0.9933	0.9833	0.9933	0.97	0.9942	0.9467
Glass	0.8158	0.7411	0.8178	0.7457	0.8080	0.7646
Diabetes	0.8038	0.7371	0.7990	0.7619	0.8051	0.7477
Liver	0.7620	0.6870	0.7591	0.6754	0.7609	0.6536
Object recognition	1	0.9850	1	0.9950	1	1

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