Evaluation of Machine-Learning Models for Predicting Aeolian Dust: A Case Study over the Southwestern USA
Aeolian dust has widespread consequences on health, the environment, and the hydrology over a region. This study investigated the performance of various machine-learning (ML) models including Multiple Linear Regression (MLR), Support Vector Machines (SVM), Random Forests (RF), Bayesian Regularized N...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Climate |
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| Online Access: | https://www.mdpi.com/2225-1154/10/6/78 |