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

• Main Authors: Mohd Safar, Noor Zuraidin, Ndzi, David, Mahdin, Hairulnizam, Ku Khalif, Ku Muhammad Naim
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• Online Access: http://eprints.uthm.edu.my/3421/1/KP%202020%20%2871%29.pdf; http://eprints.uthm.edu.my/3421/; https://doi.org/10.1007/978-3-030-36056-6_24
• Institution: Universiti Tun Hussein Onn Malaysia

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...