Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm

• Main Authors: Banadkooki, Fatemeh Barzegari, Ehteram, Mohammad, Ahmed, Ali Najah, Teo, Fang Yenn, Fai, Chow Ming, Afan, Haitham Abdulmohsin, Sapitang, Michelle, El-Shafie, Ahmed
• Format: Article
• Published: SPRINGER 2020
• Subjects: QA75 Electronic computers. Computer science; TP Chemical technology
• Online Access: http://eprints.um.edu.my/36870/
• Institution: Universiti Malaya

The present study attempted to predict groundwater levels (GWL) obtained from precipitation and temperature data based on various temporal delays. The radial basis function (RBF) neural network-whale algorithm (WA) model, the multilayer perception (MLP-WA) model, and genetic programming (GP) were us...