An artificial neural network emulator of the rangeland hydrology and erosion model
Machine learning (ML) is becoming an ever more important tool in hydrologic modeling. Previous studies have shown the higher prediction accuracy of those ML models over traditional process-based ones. However, there is another advantage of ML which is its lower computational demand. This is importan...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-06-01
|
| Series: | International Soil and Water Conservation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095633923000965 |