{"id":"doi:10.1016/j.jhydrol.2015.04.073","kind":"article","title":"Extreme Learning Machines: A new approach for prediction of reference evapotranspiration","authors":["Shafika Sultan Abdullah","M. A. Malek","Namiq Sultan Abdullah","Özgür Kişi","Keem Siah Yap"],"author_count":5,"year":2015,"published":"2015-05-06","venue":"Journal of Hydrology","cited_by":253,"doi":"10.1016/j.jhydrol.2015.04.073","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.jhydrol.2015.04.073","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.jhydrol.2015.04.073","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W332085899","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":[]}