Prediction of 24-hour-average PM(2.5) concentrations using a hidden Markov model with different emission distributions in Northern California.
about
Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.Day-Ahead PM2.5 Concentration Forecasting Using WT-VMD Based Decomposition Method and Back Propagation Neural Network Improved by Differential Evolution.Modeling and forecasting daily movement of ambient air mean PM₂.₅ concentration based on the elliptic orbit model with weekly quasi-periodic extension: a case study.Mining Public Datasets for Modeling Intra-City PM Concentrations at a Fine Spatial Resolution
P2860
Prediction of 24-hour-average PM(2.5) concentrations using a hidden Markov model with different emission distributions in Northern California.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Prediction of 24-hour-average PM
@nl
Prediction of 24-hour-average ...... utions in Northern California.
@en
type
label
Prediction of 24-hour-average PM
@nl
Prediction of 24-hour-average ...... utions in Northern California.
@en
prefLabel
Prediction of 24-hour-average PM
@nl
Prediction of 24-hour-average ...... utions in Northern California.
@en
P2093
P1476
Prediction of 24-hour-average ...... utions in Northern California.
@en
P2093
Ahmet Palazoglu
Angadh Singh
Shiwei Liu
Weidong Zhang
P304
P356
10.1016/J.SCITOTENV.2012.10.070
P577
2012-11-23T00:00:00Z