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Table 1

The prediction errors on validation sets of all the data sets used (with MLPs trained with entire training data sets)

Prediction error on validation
Time seriesTotal number of patterns (approx.)NRMSEMCEMAERMSE
Lorenz 4,775 0.0634 0.9415 0.6395 0.8022 
Mississippi 5,480 0.0388 0.9689 207.31 m3/s 304.68 m3/s 
Wabash 5,480 0.0606 0.9519 25.66 m3/s 46.61 m3/s 
Friedman 5,600 0.0089 0.9920 2.5540 3.4332 
Mekong 5,740 0.0662 0.9546 434.50 m3/s 707.90 m3/s 
Prediction error on validation
Time seriesTotal number of patterns (approx.)NRMSEMCEMAERMSE
Lorenz 4,775 0.0634 0.9415 0.6395 0.8022 
Mississippi 5,480 0.0388 0.9689 207.31 m3/s 304.68 m3/s 
Wabash 5,480 0.0606 0.9519 25.66 m3/s 46.61 m3/s 
Friedman 5,600 0.0089 0.9920 2.5540 3.4332 
Mekong 5,740 0.0662 0.9546 434.50 m3/s 707.90 m3/s 
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