Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
[引用][C] Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - Science of The Total …, 2011 - cir.nii.ac.jp
Intercomparison of air quality data using principal component analysis, and forecasting of
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki …
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki …
[PDF][PDF] Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - Science of the Total …, 2011 - 158.110.32.35
Dimitris Voukantsis a, Kostas Karatzas a,⁎, Jaakko Kukkonen b, Teemu Räsänen c, Ari
Karppinen b, Mikko Kolehmainen ca Department of Mechanical Engineering, Informatics …
Karppinen b, Mikko Kolehmainen ca Department of Mechanical Engineering, Informatics …
Intercomparison of air quality data using principal component analysis, and forecasting of PM₁₀ and PM₂. ₅ concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas… - The Science of the …, 2011 - pubmed.ncbi.nlm.nih.gov
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - Science of the Total …, 2011 - infona.pl
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
[PDF][PDF] Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - Science of the Total …, 2011 - academia.edu
Dimitris Voukantsis a, Kostas Karatzas a,⁎, Jaakko Kukkonen b, Teemu Räsänen c, Ari
Karppinen b, Mikko Kolehmainen ca Department of Mechanical Engineering, Informatics …
Karppinen b, Mikko Kolehmainen ca Department of Mechanical Engineering, Informatics …
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen, T Räsänen… - 2011 - cabidigitallibrary.org
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
Intercomparison of air quality data using principal component analysis, and forecasting of PM₁₀ and PM₂. ₅ concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - The Science of the …, 2011 - europepmc.org
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
[引用][C] Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D VOUKANTSIS, K KARATZAS… - Science of the total …, 2011 - pascal-francis.inist.fr
Intercomparison of air quality data using principal component analysis, and forecasting of
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and …
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and …
[引用][C] Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
D Voukantsis, K Karatzas, J Kukkonen… - Science of the Total …, 2011 - ui.adsabs.harvard.edu
Intercomparison of air quality data using principal component analysis, and forecasting of
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki …
PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki …