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Table 2 Results for ANNs Using 10-fold cross validation

From: A decision support system to determine optimal ventilator settings

Learning Alg./Output parameters

Mean± s

Frequency

Tidal volume

FiO2

PS/VS

Bayesian regulation

90.474 ±0.956

88.733 ±0.867

89.608 ±1.002

93.644 ±0.756

One step secant

89.575 ±1.235

87.759 ±1.821

90.187 ±1.403

90.094 ±1.006

BFGS quasi-newton

82.563 ±0.997

75.775 ±1.945

76.626 ±1.874

82.113 ±1.187

Cyclical order weight/bias training

65.292 ±2.118

71.315 ±2.145

72.002 ±2.308

91.337 ±0.863

Sequential order weight/bias training

100 ±0

99.796 ±0.014

99.515 ±0.025

85.129 ±1.571