Selection of the most significant variables of air pollutants using sensitivity analysis
This study was conducted to determine the most significant parameters for the air-pollutant index (API) prediction in Malaysia using data covering a 7-year period (2006–2012) obtained from the Malaysian Department of Environment (DOE). The sensitivity analysis method coupled with the artificial neur...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
ASTM International
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/49493/ http://irep.iium.edu.my/49493/ http://irep.iium.edu.my/49493/ http://irep.iium.edu.my/49493/1/Selection_of_the_Most_Significant_Variables_of_Air_Pollutants_Using_Sensitivity_Analysis.pdf http://irep.iium.edu.my/49493/4/59493_Selection%20of%20the%20most%20significant%20variables_Scopus.pdf |
Internet
http://irep.iium.edu.my/49493/http://irep.iium.edu.my/49493/
http://irep.iium.edu.my/49493/
http://irep.iium.edu.my/49493/1/Selection_of_the_Most_Significant_Variables_of_Air_Pollutants_Using_Sensitivity_Analysis.pdf
http://irep.iium.edu.my/49493/4/59493_Selection%20of%20the%20most%20significant%20variables_Scopus.pdf