TY  - JOUR
AU  - Sharma, Minho
AU  - Bhuiyan, Shamima
AU  - Karim, Nasrin
AU  - Das, Fatima
TI  - Artificial Neural Network Applied to Urban Air Quality
JO  - Open Access Journal of Engineering Applications
PY  - 2013
VL  - 37
IS  - 2
SP  - 160
EP  - 175
AB  - A sound understanding of urban air quality is essential for improving safety and performance in wind energy farms. The sensitivity of the outcomes to input variations was investigated with artificial neural network. Validation against field data gave a coefficient of determination above 12% for the estimation of urban air quality. The findings are particularly relevant to long-term infrastructure planning across South Asia and beyond.
KW  - urban air quality
KW  - artificial neural network
KW  - photovoltaic system
KW  - aluminium matrix composite
KW  - shape memory alloy
KW  - air pollution
SN  - 3105-7004
DO  - 10.55555/oajea.2013.3702.009
UR  - https://journal.bsaps.com/article/9026
ER  -