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

• 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/28130/1/Rainfall%20intensity%20forecast%20using%20ensemble%20artificial%20neural%20network%20.pdf; http://umpir.ump.edu.my/id/eprint/28130/; https://doi.org/10.1007/978-3-030-36056-6_24
• Institution: Universiti Malaysia Pahang

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...