Open AccessApplication of LSTM Models in Predicting Particulate Matter (PM2.5) Levels for Urban Area
Author(s) -
B Sundarambal,
Partheeban Pachaivannan,
P. Navin Elamparithi,
S Manimozhi
Publication year - 2021
Publication title -
journal of engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.168
H-Index - 9
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.11781
Subject(s) - mean squared error , regression , air quality index , particulates , regression analysis , statistics , air pollution , pollution , coefficient of determination , predictive modelling , environmental science , computer science , artificial intelligence , mathematics , meteorology , geography , ecology , chemistry , organic chemistry , biology
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