A new rainfall forecasting model using the CAPSO algorithm and an artificial neural network

• Main Authors: Beheshti, Z., Firouzi, M., Shamsuddin, S. M., Zibarzani, M., Yusop, Z.
• Format: Article
• Published: Springer-Verlag London Ltd 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/71929/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941332388&doi=10.1007%2fs00521-015-2024-7&partnerID=40&md5=d03ef0d847f0623c09cc7bea691cfd48
• Institution: Universiti Teknologi Malaysia

Artificial neural networks (ANNs) are being used increasingly to forecast rainfall. In this study, several meta-heuristic algorithms are applied to train an ANN in order to improve the accuracy of rainfall forecasting. Centripetal accelerated particle swarm optimization (CAPSO), a gravitational sear...