Research Article

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems

Table 5

Topology characteristics for every dataset on configurations α1, β1, and γ1.

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

α1Balance Scale2.97 ± 0.670.741.58 ± 0.859.58 ± 2.89
Blood2.30 ± 0.760.581.85 ± 0.997.64 ± 2.24
Breast Cancer2.52 ± 0.990.282.03 ± 1.098.79 ± 2.04
Card2.52 ± 0.930.172.09 ± 0.938.67 ± 2.22
Diabetes2.09 ± 0.900.261.97 ± 1.117.09 ± 1.91
Fertility3.03 ± 0.970.342.30 ± 1.299.24 ± 2.87
Glass2.21 ± 1.320.251.48 ± 0.9311.73 ± 3.77
Ionosphere2.24 ± 1.050.072.21 ± 1.307.61 ± 2.81
Iris Plant1.30 ± 0.520.331.70 ± 1.008.18 ± 2.35
Liver2.48 ± 0.700.411.88 ± 0.846.64 ± 1.79
Parkinson2.27 ± 1.380.101.85 ± 1.508.00 ± 4.65
Wine2.48 ± 1.230.191.97 ± 1.759.73 ± 4.48

β1Balance Scale3.52 ± 0.560.884.09 ± 1.5812.36 ± 4.32
Blood3.12 ± 0.690.784.76 ± 2.5512.03 ± 5.77
Breast Cancer6.12 ± 1.470.684.03 ± 1.8514.24 ± 5.46
Card5.79 ± 1.950.394.39 ± 2.0912.85 ± 5.47
Diabetes3.39 ± 0.950.423.55 ± 1.7109.36 ± 4.00
Fertility5.58 ± 1.740.624.09 ± 2.2212.39 ± 6.02
Glass5.70 ± 1.620.633.03 ± 1.8211.88 ± 6.30
Ionosphere5.52 ± 2.240.173.55 ± 2.0512.15 ± 6.68
Iris Plant3.39 ± 0.890.854.73 ± 2.6013.27 ± 6.93
Liver3.94 ± 1.070.664.06 ± 1.9111.03 ± 5.32
Parkinson5.12 ± 1.770.234.36 ± 2.4511.48 ± 5.66
Wine6.15 ± 1.880.473.82 ± 1.4913.03 ± 4.93

γ1Balance Scale4.00 ± 0.001.004.03 ± 1.6412.79 ± 3.75
Blood3.79 ± 0.480.954.70 ± 1.7113.42 ± 4.23
Breast Cancer6.70 ± 1.380.745.39 ± 2.3916.30 ± 5.93
Card8.76 ± 2.850.585.12 ± 2.0418.03 ± 8.12
Diabetes6.24 ± 1.330.785.67 ± 3.1917.76 ± 9.36
Fertility7.24 ± 1.180.804.79 ± 2.4216.79 ± 6.20
Glass6.79 ± 1.320.754.97 ± 2.1816.24 ± 5.85
Ionosphere11.64 ± 3.310.354.45 ± 1.8618.03 ± 6.07
Iris Plant3.91 ± 0.290.985.79 ± 2.7915.73 ± 6.89
Liver5.03 ± 1.030.844.64 ± 2.3614.39 ± 6.49
Parkinson8.91 ± 3.410.404.18 ± 2.3715.06 ± 7.58
Wine8.64 ± 1.920.664.97 ± 1.6216.97 ± 5.33