Scientific Programming / 2018 / Article / Tab 5

Research Article

A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training

Table 5

The results of the 80% training and 20% testing experiment for six datasets.

DatasetAlgorithmSSETraining CA (%)Testing CA (%)

IrisMMPSO0.31100100
FWA0.52100100
KHA21.2899.59100
HS18.0098.3396.67
GA96.0090.0090.00

GlassMMPSO47.5678.3662.79
FWA94.3361.9960.47
KHA41.2158.7958.14
HS355.8570.1272.09
GA544.0057.8967.44

IonosphereMMPSO18.9199.2891.54
FWA25.2895.7190.14
KHA31.089.0091.43
HS106.495.0094.37
GA15293.2194.37

Breast cancerMMPSO47.0099.4697.85
FWA66.1193.9296.43
KHA---
HS126.37-100
GA172-98.57

DiabetesMMPSO166.2181.2779.87
FWA267.2065.9666.88
KHA---
HS856-77.27
GA1108-79.87

ThyroidMMPSO237.0795.3794.19
FWA749.1193.2193.82
KHA320.394.8192.90
HS3146.493.0692.78
GA3416.092.5892.57

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