Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
Standardized precipitation index prediction and monitoring are essential to mitigating the effect of drought actions on precision farming, environments, climate-smart agriculture, and the water cycle. In this study, four data-driven models, additive regression, random subspace, M5Pruned (M5P), and b...
保存先:
| 主要な著者: | , , , , |
|---|---|
| その他の著者: | |
| フォーマット: | 論文 |
| 出版事項: |
Springer
2024
|
| 主題: | |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|