{"id":"doi:10.1016/j.agrformet.2018.08.019","kind":"article","title":"Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China","authors":["Junliang Fan","Wenjun Yue","Lifeng Wu","Fucang Zhang","Huanjie Cai","Xiukang Wang","Xianghui Lu","Youzhen Xiang"],"author_count":8,"year":2018,"published":"2018-09-01","venue":"Agricultural and Forest Meteorology","cited_by":550,"doi":"10.1016/j.agrformet.2018.08.019","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.agrformet.2018.08.019","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.agrformet.2018.08.019","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2889246260","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Hydrological Forecasting Using AI"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}