• Anvesh Parashar

Air pollution epidemiology has received major concerns from various Organizations and others groups because of its Various Health Hazard and Effects on General Public. Various Agencies has established Standards of Air Quality Index that indicate Air Quality and Concentration of Air Pollutants that indicate the risk factor involved in inhaling polluted air. The Decreased Cost of Remote Sensing Devices and Mobile Sensor Help us to monitor the data related to Air Quality but Processing and Prediction of Future Air Quality is also a major Challenge to Build Early Warning System and Various Provision to improve the air quality and minimize the effects on general public. In this paper we reviewed papers based on the machine learning models particularly neural networks with an aspect of data mining. Mainly the focus is on predicting future trends from the historical data collected using various air quality assessment equipment. The time Series data of air quality is a nonlinear regression problem between predictors and predictand. Here the most suitable choice of algorithm for this problem are algorithms that are able to identify the non-linear structure in the data and is able to predict the future trends efficiently like Support vector machine, Multivariate Adaptive Regression Splines, Neural Networks etc. in which neural network recently emerged as the most popular and efficient method for this task. In this paper different algorithms are used with neural network for complementing or compared, to find the best suitable models for a different number of performances metrices

Data mining, Machine Learning, Artificial Neural Network, Air Pollution, Forecasting.

"Review on Artificial Neural Network Techniques used for Air Quality Index and Air Pollutants Concentration Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.901-907, June 2019, Available :http://www.jetir.org/papers/JETIR1907730.pdf

"Review on Artificial Neural Network Techniques used for Air Quality Index and Air Pollutants Concentration Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp901-907, June 2019, Available at : http://www.jetir.org/papers/JETIR1907730.pdf