Comparative analysis of artificial intelligence methods for streamflow forecasting

• Main Authors: Wei, Yaxing, Bin Hashim, Huzaifa, Lai, Sai Hin, Chong, Kai Lun, Huang, Yuk Feng, Ahmed, Ali Najah, Sherif, Mohsen, El-Shafie, Ahmed
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2024
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/44211/; https://doi.org/10.1109/ACCESS.2024.3351754

Deep learning excels at managing spatial and temporal time series with variable patterns for streamflow forecasting, but traditional machine learning algorithms may struggle with complicated data, including non-linear and multidimensional complexity. Empirical heterogeneity within watersheds and lim...