z-logo
open-access-imgOpen Access
Using a stochastic forest prediction model to predict the hazardous gas concentration in a one-way roadway
Author(s) -
Chengyu Xie,
Lei Chao,
Yaguang Qin,
Jie Cao,
Yuhao Li
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0025594
Subject(s) - artificial neural network , predictive modelling , random forest , regression , environmental science , performance prediction , regression analysis , generalization , pollution , pollutant , term (time) , statistics , meteorology , computer science , soil science , machine learning , mathematics , simulation , chemistry , mathematical analysis , ecology , physics , organic chemistry , quantum mechanics , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom