持有資料: Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

Using a comparison of three different major types, the best predictive model was determined. Statistical models and machine learning algorithms automatically learn and improve based on data. Deep learning uses neural networks to learn complex data patterns and relationships. A combination of satelli...

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Main Authors:	Latif S.D., Alyaa Binti Hazrin N., Hoon Koo C., Lin Ng J., Chaplot B., Feng Huang Y., El-Shafie A., Najah Ahmed A.
其他作者:	57216081524
格式:	Review
出版:	Elsevier B.V. 2024
主題:	Hybrid models Machine learning Prediction Rainfall Remote sensing Climate models Forecasting Learning algorithms Learning systems Long short-term memory Rain Regression analysis Satellite imagery Hybrid model Learn+ Machine-learning Model learning Prediction modelling Predictive models Rainfall prediction Remote sensing approaches Remote-sensing Statistic modeling
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Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

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