To predict PM2.5 by a deep learning method of long-short term memory network - A case study of Kaohsiung City

Autor:	Shao Wei Yang, How Ran Guo
Rok vydání:	2021
Předmět:	Pollutant Long short term memory business.industry Deep learning Environmental resource management General Earth and Planetary Sciences Environmental science Artificial intelligence Particulates business General Environmental Science
Zdroj:	ISEE Conference Abstracts. 2021
ISSN:	1078-0475
DOI:	10.1289/isee.2021.p-526
Popis:	BACKGROUND AND AIM: In recent years, particulate matter (PM) has become a serious air pollutant in urban areas of Taiwan and has drawn more and more attention. This study selected possible factors ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e1c858084e4d29841ccc68d5c5427f57 https://doi.org/10.1289/isee.2021.p-526 Zobrazit plný text záznamu