Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
This paper proposes an ensemble method based on neural network architecture and stacking generalization. The objective is to develop a novel ensemble of Artificial Neural Network models with back propagation network and dynamic Recurrent Neural Network to improve prediction accuracy. Historical mete...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28130/1/Rainfall%20intensity%20forecast%20using%20ensemble%20artificial%20neural%20network%20.pdf |
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Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
Published 2020
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Conference or Workshop Item