What is it about?
computational simulation model for prediction of very fine dusts spreading in air and how the concentration hourly change based on classification and regression tree (CART) and ensemble extreme learning machine (EELM) methods.
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Why is it important?
The new model has improved the capability of treating multiple change patterns.
Perspectives
it tends to explore a new area for dust spreading and simulation of dust spreading.
Dr Tong Deng
University of Greenwich
Read the Original
This page is a summary of: A novel model for hourly PM2.5 concentration prediction based on CART and EELM, The Science of The Total Environment, February 2019, Elsevier,
DOI: 10.1016/j.scitotenv.2018.10.193.
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