Research Article

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems

Table 6

Topology characteristics for every dataset on configurations α2, β2, and γ2.

ConfigurationDatasetAverage number of features employedRate of used featuresAverage number of hidden unitsAverage number of synapses

α2Balance Scale3.73 ± 0.450.932.06 ± 1.2311.48 ± 3.47
Blood3.33 ± 0.770.832.52 ± 1.2811.64 ± 3.95
Breast Cancer3.85 ± 1.100.432.06 ± 1.0410.82 ± 3.93
Card5.39 ± 2.200.362.76 ± 1.5414.42 ± 6.27
Diabetes3.21 ± 0.950.402.33 ± 1.2210.64 ± 3.56
Fertility5.30 ± 1.590.592.94 ± 2.0115.39 ± 7.72
Glass2.79 ± 1.220.311.88 ± 0.9113.91 ± 3.70
Ionosphere4.45 ± 1.670.133.55 ± 1.4214.18 ± 4.36
Iris Plant1.76 ± 1.050.442.00 ± 1.6711.27 ± 6.49
Liver3.33 ± 0.940.561.67 ± 0.8409.18 ± 3.02
Parkinson3.67 ± 2.220.171.91 ± 1.0310.09 ± 4.43
Wine3.15 ± 1.520.242.67 ± 1.4912.30 ± 5.26

β2Balance Scale3.88 ± 0.330.973.39 ± 1.9209.88 ± 4.16
Blood3.21 ± 0.690.804.21 ± 3.5011.55 ± 9.49
Breast Cancer5.76 ± 1.630.643.97 ± 2.4111.94 ± 6.09
Card6.94 ± 2.240.464.55 ± 2.8514.00 ± 7.21
Diabetes4.06 ± 1.230.513.91 ± 2.1110.85 ± 5.65
Fertility5.30 ± 2.110.593.39 ± 2.0110.36 ± 5.64
Glass5.18 ± 1.450.583.73 ± 1.6611.21 ± 4.44
Ionosphere6.48 ± 2.270.204.30 ± 2.6712.94 ± 6.33
Iris Plant3.24 ± 0.740.814.09 ± 2.5010.61 ± 6.30
Liver4.27 ± 1.210.713.52 ± 1.7810.52 ± 4.39
Parkinson5.39 ± 2.440.253.09 ± 1.9909.64 ± 5.51
Wine5.85 ± 1.730.454.24 ± 2.2212.85 ± 5.21

γ2Balance Scale4.00 ± 0.001.003.15 ± 2.1210.55 ± 5.78
Blood3.67 ± 0.590.924.58 ± 2.5612.79 ± 5.86
Breast Cancer7.30 ± 1.270.814.61 ± 1.8215.85 ± 5.21
Card8.58 ± 2.450.574.00 ± 2.4715.09 ± 7.10
Diabetes6.06 ± 1.410.764.24 ± 1.7813.76 ± 4.96
Fertility6.73 ± 1.330.754.06 ± 2.7314.21 ± 6.65
Glass6.70 ± 1.170.744.91 ± 1.6015.06 ± 4.26
Ionosphere11.64 ± 4.140.353.88 ± 2.2016.88 ± 7.10
Iris Plant3.61 ± 0.690.903.82 ± 2.1810.97 ± 5.42
Liver4.91 ± 0.900.823.21 ± 1.5310.45 ± 4.11
Parkinson7.97 ± 2.470.363.39 ± 1.5012.36 ± 4.20
Wine8.15 ± 1.960.634.70 ± 1.9316.12 ± 5.57