Research Article

Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling

Table 1

The adopted typhoon events among training, validation, and testing stage.

ā€‰Typhoon nameTime period of typhoon warningTotal precipitation (mm)Data numberTotal data number

TrainingUtor2001/07/03~2001/07/059246804
Toraji2001/07/28~2001/07/315175
Lekima2001/09/24~2001/09/2816791
Haiyan2001/10/15~2001/10/1615027
Sinlaku2002/09/05~2002/09/0835573
Haitang2005/07/16~2005/07/2039975
Matsa2005/08/04~2005/08/06127154
Talim2005/08/30~2005/09/0132851
Khanun2005/09/10~2005/09/1113227
Sepat2007/08/16~2007/08/1921866
Wipha2007/09/17~2007/09/1950442
Krosa2007/10/05~2007/10/0770963
Fung-Wong2008/07/27~2008/07/2912057
Jangmi2008/09/27~2008/09/2924957

ValidationNari2001/09/15~2001/09/19937111421
Dujuan2003/08/31~2003/09/028042
Rananim2004/08/11~2004/08/1242436
Aere2004/08/23~2004/08/26155969
Nock-Ten2004/10/24~2004/10/2528642
Nanmadol2004/12/03~2004/12/0411524
Longwang2005/10/01~2005/10/0317251
Kalmaegi2008/07/17~2008/07/186746

TestingMindulle2004/06/29~2004/07/027472252
Sinlaku2008/09/12~2008/09/15108487
Morakot2009/08/06~2009/08/1049393