Abstract: The aim of this paper is to predict the average concentration of particulate matter of a particular region using artificial neural network. Air pollution represents a long lasting concern for the public authorities, the scientists as well as the civil society because it has a long term impact on health and the environment. The dispersions or suspensions of the particles in solid and the liquid forms in atmosphere are termed as aerosols. The term particulate matter (PM) is used to define the suspended solid-phase matter in the atmosphere. It is the mixture of the different elements. Further pollutants like SO2, CH4, CO, NO, O3 and NO2 are largely found in the industrial waste. The evidences reveal that sulfate and organic matter are the two main contributing factors for annual PM 10 and PM 2.5 concentrations.......
Keywords: Artificial Neural network, Air pollution, Human health, Mean Square Error, Particulate Matter
[1]. Ma, J., Xu, F., Huang, K., Huang, R., Improvement on the linear and nonlinear auto-regressive model for predicting the NOx emission of diesel engine, Journal of Neuro-computing, 207(26), 2016, 150-164
[2]. Wang, J., Zheng, K., Singh, R., Lou, H., Hao, J., Wang, B., Cheng, F., Numerical simulation and cold experimental research of a low-NOx combustion technology for pulverized low-volatile coal, Applied Thermal Engineering, 114(5), 2017, pp 498-510
[3]. Das M., Çevik Y., Erel, Ö., Çorbacioglu SK., Ischemia-modified albumin levels in the prediction of acute critical neurological findings in carbon monoxide poisoning, The Kaohsiung Journal of Medical Sciences, 32(4), 2016, 201-206.
[4]. Ma, J., Ma, F., Zhou, Z., Liu, Y., Theoretical prediction on CO insertion reactions through the anionic complex [ClMg(ƞ2-O2C]- as a catalyst, Journal of Atmospheric Pollution Research, 7(3), 2016, 412-418.
[5]. Seshadri, K., Bai, X., Rate-ratio asymptotic analysis of the influence of addition of carbon monoxide on the structure and mechanisms of extinction of no premixed methane flames with comparison to experiments, Journal of Combustion and Flame, 175(1), 2017, 107-117..