Research Article
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model
Table 3
The performance for all study stations of multilayer perceptron models in validation phase.
| Stations | SPEI-1 | SPEI-3 | SPEI-6 | SPEI-12 | MSE | MAE | | MSE | MAE | | MSE | MAE | | MSE | MAE | |
| Kakul | 0.107 | 0.254 | 0.946 | 0.254 | 00.22 | 0.916 | 0.256 | 0.254 | 0.886 | 0.263 | 0.632 | 0.886 | Astor | 0.100 | 0.241 | 0.949 | 0.089 | 0.248 | 0.947 | 0.094 | 0.741 | 0.947 | 0.258 | 0.263 | 0.925 | DI Khan | 0.078 | 0.205 | 0.947 | 0.099 | 0.220 | 0.927 | 0.094 | 0.263 | 0.927 | 0.096 | 0.523 | 0.963 | Balakot | 0.181 | 0.339 | 0.921 | 0.098 | 0.246 | 0.934 | 0.093 | 0.749 | 0.944 | 0.0589 | 0.236 | 0.780 | Bunji | 0.099 | 0.217 | 0.944 | 0.099 | 0.230 | 0.914 | 0.091 | 0.746 | 0.944 | 0.089 | 0.856 | 0.942 | Chilas | 0.100 | 0.244 | 0.946 | 0.104 | 0.207 | 0.941 | 0.121 | 0.785 | 0.941 | 0.123 | 0.856 | 0.936 | Dir | 0.099 | 0.250 | 0.946 | 0.100 | 0.245 | 0.954 | 0.421 | 0.259 | 0.994 | 0.125 | 0.456 | 0.926 | Drosh | 0.100 | 0.242 | 0.942 | 0.099 | 0.230 | 0.944 | 0.062 | 0.230 | 0.944 | 0.096 | 0.236 | 0.985 | Garhi Dupatta | 0.099 | 0.251 | 0.945 | 0.099 | 0.243 | 0.876 | 0.290 | 0.245 | 0.876 | 0.091 | 0.226 | 0.872 | Kotli | 0.121 | 0.258 | 0.940 | 0.100 | 0.239 | 0.948 | 0.123 | 0.485 | 0.948 | 0.105 | 0.256 | 0.923 | Cherat | 0.175 | 0.321 | 0.917 | 0.100 | 0.224 | 0.939 | 0.101 | 0.785 | 0.939 | 0.103 | 0.845 | 0.926 | Islamabad | 0.182 | 0.327 | 0.911 | 0.098 | 0.231 | 0.921 | 0.091 | 0.846 | 0.921 | 0.094 | 0.785 | 0.952 | Peshawar | 0.022 | 0.109 | 0.987 | 0.099 | 0.222 | 0.934 | 0.093 | 0.856 | 0.934 | 0.097 | 0.159 | 0.942 | Muzaffarabad | 0.102 | 0.238 | 0.950 | 0.099 | 0.248 | 0.994 | 0.098 | 0.286 | 0.984 | 0.09∖3 | 0.741 | 0.964 | Gilgit | 0.187 | 0.332 | 0.887 | 0.140 | 0.275 | 0.900 | 0.145 | 0.869 | 0.900 | 0.126 | 0.451 | 0.970 | Gupis | 0.027 | 0.126 | 0.985 | 0.097 | 0.225 | 0.930 | 0.045 | 0.856 | 0.930 | 0.087 | 0.236 | 0.910 | Saidu Sharif | 0.100 | 0.244 | 0.945 | 0.100 | 0.243 | 0.944 | 0.145 | 0.265 | 0.944 | 0.115 | 0.263 | 0.894 |
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