Hourly river flow forecasting: application of emotional neural network versus multiple machine learning paradigms

• Main Authors: Yaseen, Z. M., Naganna, S. R., Sa’adi, Z., Samui, P., Ghorbani, M. A., Salih, S. Q., Shahid, S.
• Format: Article
• Published: Springer 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/86830/; https://dx.doi.org/10.1007/s11269-020-02484-w
• Institution: Universiti Teknologi Malaysia

Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly river flow forecasting models for the Albert river, located in Queensland, Australia using various machine learning (ML) based models...