Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer

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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Bibliographic Details
Main Authors: Zuriani Mustaffa, Mohd Herwan Sulaiman, Muhammad ‘Arif Mohamad
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Franklin Open
Subjects:
Barnacles Mating Optimizer
Deep learning
Optimization
Time series prediction
Earth Surface Temperature
Climate change
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186324000677
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