Hybrid residual modeling of pan evaporation in hyper-arid climates: Benchmarking interpretable neural architectures against physical drivers
Study Region: Kuwait, Arabian Peninsula, Western Asia Study Focus: This study proposes an interpretable hybrid residual learning framework that integrates stepwise linear regression (SWLR) with four neural network architectures: Feedforward Neural Networks (FNN), Long Short-Term Memory networks (LST...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825003970 |
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