Research Article

Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets

Table 8

Multilayer perceptron results for the Season Dataset.

Subset# of neuronsTraining algorithmMSETime (s)
MeanSTDMeanSTD

Spring10LM0.0630.086
GDX0.1830.086
TB0.3830.049
SCG0.0560.001
BR0.0760.015
30LM0.0680.217
GDX0.2100.217
TB0.4730.019
SCG0.0550.005
BR0.0710.225
50LM0.0800.181
GDX0.2530.181
TB0.7700.075
SCG0.0560.001
BR0.0890.490

Summer10LM0.0590.0663
GDX0.1660.0663
TB0.3550.0396
SCG0.0530.0007
BR0.0640.0059
30LM0.0650.440
GDX0.2020.440
TB0.5000.047
SCG0.0560.001
BR0.0730.004
50LM0.0830.225
GDX0.2530.225
TB0.7430.019
SCG0.0570.001
BR0.0850.003

Autumn10LM0.0610.101
GDX0.1680.101
TB0.3510.058
SCG0.0550.001
BR0.0710.009
30LM0.0670.196
GDX0.2040.196
TB0.5060.048
SCG0.0540.001
BR0.0690.001
50LM0.0790.307
GDX0.2400.307
TB0.7340.029
SCG0.0540.001
BR0.0830.103

Winter10LM0.0600.105
GDX0.1700.105
TB0.3560.008
SCG0.0550.001
BR0.0650.016
30LM0.0700.122
GDX0.2150.122
TB0.4900.035
SCG0.0560.001
BR0.1030.096
50LM0.0800.155
GDX0.2470.155
TB0.7570.011
SCG0.0550.001
BR0.0800.115