Table 6: Models’ performance using Miyazaki dataset.

Model typeModelMMREPRED(25)EF

IndividualMLP65.8620.00.30
SVR108.3730.00.27
ANFIS36.1820.00.54

Homogeneous ensemble
(MLP)
HM-MLP-[Avg]176.6220.00.11
HM-MLP-[WtAvg]176.6020.00.11
HM-MLP-[MLP]69.2330.00.43
HM-MLP-[SVR]107.6830.00.28
HM-MLP-[FIS-FCM]317.2610.00.03
HM-MLP-[FIS-SC]82.9240.00.48
HM-MLP-[ANFIS-FCM]56.1440.00.70
HM-MLP-[ANFIS-SC]95.5410.00.10

Homogeneous ensemble
(SVR)
HM-SVR-[Avg]48.0530.00.61
HM-SVR-[WtAvg]49.4930.00.59
HM-SVR-[MLP]93.7940.00.42
HM-SVR-[SVR]105.0620.00.19
HM-SVR-[FIS-FCM]85.0740.00.46
HM-SVR-[FIS-SC]39.8940.00.98
HM-SVR-[ANFIS-FCM]106.6830.00.28
HM-SVR-[ANFIS-SC]35.4960.01.64

Homogeneous ensemble
(ANFIS)
HM-ANFIS-[Avg]30.7430.00.95
HM-ANFIS-[WtAvg]30.7430.00.95
HM-ANFIS-[MLP]103.4430.00.29
HM-ANFIS-[SVR]114.6440.00.35
HM-ANFIS-[FIS-FCM]138.5220.00.14
HM-ANFIS-[FIS-SC]171.9520.00.12
HM-ANFIS-[ANFIS-FCM]101.4970.00.68
HM-ANFIS-[ANFIS-SC]118.4710.00.08

Heterogeneous ensemble
(MLP, SVR, ANFIS)
HT-(MLP, SVR, ANFIS)-[Avg]58.2950.00.84
HT-(MLP, SVR, ANFIS)-[WtAvg]50.8450.00.96
HT-(MLP, SVR, ANFIS)-[MLP]83.8260.00.71
HT-(MLP, SVR, ANFIS)-[SVR]114.1830.00.26
HT-(MLP, SVR, ANFIS)-[FIS-FCM]130.0020.00.15
HT-(MLP, SVR, ANFIS)-[FIS-SC]78.7130.00.38
HT-(MLP, SVR, ANFIS)-[ANFIS-FCM]149.9220.00.13
HT-(MLP, SVR, ANFIS)-[ANFIS-SC]64.9530.00.45