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

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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Main Authors:	Ehteram M., Ahmed A.N., Sheikh Khozani Z., El-Shafie A.
其他作者:	57113510800
格式:	Article
出版:	Springer Science and Business Media B.V. 2024
主题:	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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Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall

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