Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam

• Main Authors: Rezaie-Balf, Mohammad, Naganna, Sujay Raghavendra, Kisi, Ozgur, El-Shafie, Ahmed
• Format: Article
• Published: Taylor & Francis 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/23647/; https://doi.org/10.1080/02626667.2019.1661417
• Institution: Universiti Malaya

The potential of the most recent pre-processing tool, namely, complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), is examined for providing AI models (artificial neural network, ANN; M5-model tree, M5-MT; and multivariate adaptive regression spline, MARS) with more informat...