Improving earth surface temperature forecasting through the optimization of deep learning hyper-parameters using barnacles mating optimizer
Time series forecasting is crucial across various sectors, aiding stakeholders in making informed decisions, planning for the short and long term, managing risks, optimizing profits, and ensuring safety. One significant application of time series forecasting is predicting Earth surface temperatures,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42346/1/Improving%20earth%20surface%20temperature%20forecasting.pdf http://umpir.ump.edu.my/id/eprint/42346/ https://doi.org/10.1016/j.fraope.2024.100137 https://doi.org/10.1016/j.fraope.2024.100137 |
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