A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm

Table 5

Orthogonal array for parameters of the glass dataset.

Experimental runs	Parameters (levels)				Accuracy (%)
	Branch (3)	F (3)	CR (3)	NP (3)
1	9	0.3	0.3	10	93.75  2.65
2	18	0.3	0.6	30	94.37  4.13
3	27	0.3	0.9	60	94.42  2.51
4	27	0.6	0.3	30	94.06  4.44
5	9	0.6	0.6	10	93.12  4.29
6	18	0.6	0.9	60	93.02  4.07
7	18	0.9	0.3	60	93.54  3.66
8	27	0.9	0.6	10	92.81  4.03
9	9	0.9	0.9	30	94.01  2.66