Open AccessGround Ozone Level Prediction Using Machine Learning
Author(s) -
Zhiying Meng
Publication year - 2019
Publication title -
journal of software engineering and applications
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1945-3124
pISSN - 1945-3116
DOI - 10.4236/jsea.2019.1210026
Subject(s) - machine learning , ground level ozone , support vector machine , decision tree , adaboost , artificial intelligence , artificial neural network , random forest , test set , air pollution , computer science , set (abstract data type) , test data , ozone , meteorology , geography , chemistry , organic chemistry , programming language