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Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall

Rainfall prediction is an important issue in water resource management. Predicting rainfall helps researchers to monitor droughts, surface water and floods. The current study introduces a new deep learning model named convolutional neural network (CONN)- support vector machine (SVM)- Gaussian regres...

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書誌詳細
主要な著者:	Ehteram M., Ahmed A.N., Sheikh Khozani Z., El-Shafie A.
その他の著者:	57113510800
フォーマット:	論文
出版事項:	Springer Science and Business Media B.V. 2024
主題:	Deep learning model Machine Learning model Rainfall pattern Water resource management Malaysia Terengganu Terengganu Basin West Malaysia Convolution Convolutional neural networks Deep learning Disasters Drought Floods Forecasting Gaussian distribution Gaussian noise (electronic) Information management Learning systems Rain Resource allocation Surface waters Uncertainty analysis Water management Convolutional neural network Daily rainfall Learning models Machine learning models Monthly rainfalls Network support Rainfall patterns Support vectors machine Water resources management artificial neural network climate prediction Gaussian method machine learning natural disaster precipitation assessment rainfall support vector machine water resource Support vector machines
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