PM2.5 concentration prediction using hidden semi-Markov model-based times series data mining
about
Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural Network Model and GIS.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.Degradation prediction model based on a neural network with dynamic windows
P2860
PM2.5 concentration prediction using hidden semi-Markov model-based times series data mining
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
PM2.5 concentration prediction ...... based times series data mining
@ast
PM2.5 concentration prediction ...... based times series data mining
@en
PM2.5 concentration prediction ...... based times series data mining
@en-gb
type
label
PM2.5 concentration prediction ...... based times series data mining
@ast
PM2.5 concentration prediction ...... based times series data mining
@en
PM2.5 concentration prediction ...... based times series data mining
@en-gb
prefLabel
PM2.5 concentration prediction ...... based times series data mining
@ast
PM2.5 concentration prediction ...... based times series data mining
@en
PM2.5 concentration prediction ...... based times series data mining
@en-gb
P2093
P921
P1476
PM2.5 concentration prediction ...... based times series data mining
@en
P2093
P2880
P304
P356
10.1016/J.ESWA.2008.12.017
P577
2009-07-01T00:00:00Z