Boosting time series forecasting accuracy with Holt-Winters and artificial neural networks
Abstract The Holt-Winters multiplicative method, when combined with artificial neural networks, offers a significant advancement in agricultural forecasting techniques. This hybrid model provides critical insights into key agricultural indicators, such as crop health, soil moisture levels, and backs...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer
2025-12-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06734-7 |
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