Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate

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...

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Bibliographic Details
Main Authors: Noor Zuraidin, Mohd Safar, Ndzi, David, Hairulnizam, Mahdin, Ku Muhammad Naim, Ku Khalif
Format: Conference or Workshop Item
Language:English
Published: Springer 2020
Subjects:
QA Mathematics
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/28130/
http://umpir.ump.edu.my/id/eprint/28130/1/Rainfall%20intensity%20forecast%20using%20ensemble%20artificial%20neural%20network%20.pdf

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