Table 6.

The classification accuracy based on training functions [98].

Training	Stop	Regression	Time	Classification Rate				Hidden
Function	Epochs		Elapsed	Training	Validation	Test	Overall	Neurons
Levenberg marquardt	15	0.8597	1.047	88.6	83.3	90	88	10
	18	0.87251	0.921	94.3	66.7	80	88
	16	0.87401	0.8721	88.7	90.3	90.3	89.2
	Average	0.86874	0.947	90.533	80.1	86.767	88.4
	33	0.85706	2.797	91.4	70	83.3	87	20
	14	0.85508	1.218	90	80	86.7	88
	12	0.84772	1.094	92.9	76.7	83.3	89
	Average	0.853287	1.703	91.433	75.567	84.433	88
	16	0.86112	2.36	92.1	80	76.7	88	30
	11	0.85018	1.703	91.4	90	73.3	88.5
	14	0.85192	2.125	89.3	76.7	83.3	86.5
	Average	0.854107	2.0627	90.933	82.233	77.767	87.667
Scaled Conjugate Gradient	37	0.7819	0.703	80.7	83.3	83.3	82.43	10
	27	0.7632	0.685	78.2	86	74.5	79.57
	32	0.7904	0.823	82.4	71.9	79.4	77.9
	Average	0.77917	0.737	80.433	80.4	79.067	79.9
	31	0.802	0.797	78.6	90	82.7	83.77	20
	35	0.8153	1.252	79	87.3	78.1	81.47
	34	0.79842	1.063	84.3	76.7	80	80.33
	Average	0.80524	1.037	80.633	84.667	80.267	81.86
	34	0.80767	2.457	83.6	83.3	86.7	84.53	30
	28	0.79215	1.073	81.2	72.1	69.5	74.27
	31	0.82531	1.352	86.6	76.5	78.8	80.63
	Average	0.80837	1.627	80.433	80.4	79.067	79.9