Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting

Autor: Lee, Jinwook, Bateni, Sayed M., Jun, Changhyun, Heggy, Essam, Jamei, Mehdi, Kim, Dongkyun, Ghafouri, Hamid Reza, Deenik, Jonathan L.
Zdroj: In Engineering Applications of Artificial Intelligence September 2024 135
Databáze: ScienceDirect