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Theory and Modern Applications

Table 1 Comparison of computing time in wind speed prediction using various numbers of iterations and numbers of data groups

From: Application of a deep learning technique to the problem of oil spreading in the Gulf of Thailand

Number of iterations

 

Number of data groups

 

1

5

10

20

10

Training set MSE

0.000430

0.000346

0.000370

0.000536

Test set MSE

0.000463

0.000454

0.000520

0.000838

Time (min.)

0.987254

0.308509

0.246547

0.207704

50

Training set MSE

0.000287

0.000351

0.000131

0.000117

Test set MSE

0.000356

0.000497

0.000169

0.000165

Time (min.)

14.72786

1.841380

1.257887

1.063724

100

Training set MSE

0.000266

0.000107

0.000100

0.000117

Test set MSE

0.000342

0.000137

0.000138

0.000165

Time (min.)

91.02324

5.074016

2.812004

2.081175