Table 2.
Artificial Intelligence methods.
| References | Networks | No. of Inputs | Country | Accuracy |
|---|---|---|---|---|
| Widodo et al. [82] | FFNN | 7 | Indonesia | FFNN |
| Sushmi et al. [83] | FFNN | 5 | India | FFNN |
| Kurniawan et al. [84] | FFNN | 8 | Indonesia | FFNN |
| Shboul et al. [85] | FFNN | 9 | Jordan and Oman | FFNN |
| Mensour et al. [86] | FFNN | 7 | Morroco | FFNN |
| Kumari et al. [87] | FFNN | 5 | India | FFNN |
| Babtunde [88] | FFNN | 3 | Nigeria | FFNN |
| Bamisile et al. [89] | FFNN | 7 | Nigeria | FFNN |
| Adi Kurniawan [90] | FFNN | 11 | Japan | FFNN |
| Gurlek [91] | FFNN | 6 | Turley | FFNN |
| Heng et al. [92] | FFNN | 3 | Malaysia | FFNN |
| Geetha et al. [93] | FFNN | 7 | India | FFNN |
| Oyewola et al. [94] | FFNN | 7 | Fiji Island | FFNN |
| E. Mohamed [95] | FFNN | 5 | Egypt | FFNN |
| Nawab et al. [96] | FFNN CFNN EMNN |
12 | Pakistan | FFNN > CFNN > EMNN |
| Belmahdi et al. [97] | FFNN k-NN ARIMA SVM |
6 | Morocco | FFNN > ARIMA > k-NN > SVM |
| Nandhini et al. [98] | FFNN RSM |
6 | India | FFNN > RSM |
| Agbulut et al. [99] | FFNN SVM k-NN DL |
5 | Turkey | FFNN > DL > SVM > k-NN |
| Naderloo [100] | FFNN RSM ANFIS |
4 | Iran | FFNN > RSM > ANFIS |
| Bamehr et al. [101] | FFNN MLR |
6 | Iran | FFNN > MLR |
| Guher et al. [102] | FFNN SVR k-NN |
9 | Turkey | FFNN > k-NN > SVR |
| Govindasamy et al. [103] | FFNN GRNN SVM RF |
8 | South Africa | FFNN > SVR > RF > GRNN |
| Ahmed Shuvho [104] | FFNN, Fuzzy Logic |
5, 3 |
Bangladesh | FFNN > Fuzzy Logic |
| Saberi et al. [105] | FFNN ANFIS |
9 | Iran | FFNN > ANFIS |
| Lotfinejad et al [106] | FFNN ANFIS GRNN |
5 | Iran | FFNN > ANFIS > GRNN |
| A. Khosravi et al. [107] | FFNN SVR FIS ANFIS RBN |
5 | UAE | SVR > FFNN > ANFIS > FIS > RBN |
| Ozdemir et al. [111] | FFNN LSTM |
8 | Turkey | LSTM > FFNN |