• POOJA P RAJ
• Somesh Dewangan
• Sachin Harne

Now a day's Air pollution is the major concern for the living beings of the world. Every annum abundant analysis work has been planned on the prediction of air pollution pollutants in order that, supported that applicable measures have to be compelled to be taken within the direction of dominant pollution. This paper opted the ANFIS (Adaptive Neuro-Fuzzy inference System) modeling methodology towards the assembly of NO2 and O3 pollutants from varied pollution pollutants for short terms prediction. The ANFIS Techniques uses the data set of a part of New Delhi and conjointly covers all the seasons of that region. To get the best results from the data sets, the data are optimized using technique PCA (Principal Component Analysis) which ends up to induce correct and quicker results. So the obtained resultant values will be additionally used for taking measures against the increasing air pollution globally.

Air pollution, Prediction, Optimization, NO2, O3, ANFIS, PCA

"Prediction and Optimization of Air Pollution ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1-7, June 2019, Available :http://www.jetir.org/papers/JETIR1906Y71.pdf

"Prediction and Optimization of Air Pollution ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1-7, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Y71.pdf