Research Article
Artificial Neural Network to Estimate the Paddy Yield Prediction Using Climatic Data
Table 3
Validation performance for the combined Maha and Yala seasons’ data.
| | Area | ANN algorithm | MSE | Number of epochs |
| | Potuvil | LM | 0.193 | 5 | | BR | 0.021 | 230 | | SCG | 0.074 | 12 | | Batticaloa | LM | 0.040 | 5 | | BR | 0.093 | 203 | | SCG | 0.084 | 11 | | Hambantota | LM | 0.155 | 10 | | BR | 0.146 | 719 | | SCG | 0.141 | 25 | | Trincomalee | LM | 0.334 | 8 | | BR | 0.197 | 552 | | SCG | 0.205 | 15 | | Badulla | LM | 0.055 | 6 | | BR | 0.386 | 31 | | SCG | 0.196 | 13 | | Bandarawela | LM | 0.204 | 8 | | BR | 0.129 | 554 | | SCG | 0.308 | 10 | | Vavuniya | LM | 0.019 | 4 | | BR | 0.006 | 212 | | SCG | 0.131 | 12 |
|
|