Scientific Programming / 2018 / Article / Tab 3

Research Article

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

Table 3

The results of 5-fold cross validation experiment of the proposed MMPSO and PSO.

DatasetAlgorithmSSETraining CA (%)Testing CA (%)

LymphographyPSO23.4689.3278.67
MMPSO13.8791.4983.67

IrisPSO6.7291.0090.67
MMPSO1.3597.3391.67

WinePSO3.8692.2587.22
MMPSO0.3999.5895.56

GlassPSO83.6066.3555.84
MMPSO62.3669.2158.14

Shuttle-landingPSO2.0799.5194.12
MMPSO1.7999.5196.08

IonospherePSO24.7793.0785.35
MMPSO20.1695.7988.73

Balance-scalePSO58.2190.2086.56
MMPSO35.8590.2489.12

Breast cancerPSO73.8098.3895.14
MMPSO59.4398.5796.29

DiabetesPSO202.3976.7872.08
MMPSO182.5477.5578.05

ThyroidPSO528.5592.9592.83
MMPSO373.6393.6694.01

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