Artificial Neural Network model for Respirable Particulate Matter Concentration Predictio

Authors

  • Mane S. J. Research Scholar, Walchand Institute of Technology, Solapur – 413 006, India
  • Sonaje N. P. Deputy Registrar, Shivaji University, Kolhapur - 416 004, India

Keywords:

Artificial neural network, RSPM, back-propagation, transform, Multilayer Perceptron Network

Abstract

In this paper, an artificial neural network is proposed to predict RSPM concentrations for Pune city, the major industrial metropolis of Maharashtra, India. The developed artificial neural network models involve meteorological parameters viz., temperature, relative humidity and wind speed and historical data on observed RSPM concentrations for 6 yrs (2004-2010) as input. The subsequent RSPM concentration for one day ahead being the output parameter is estimated. The developed model is based on three-layer neural network trained by a backpropagation algoithm with number of epoch. The developed model accurately match the trend of RSPM concentrations for one day ahead upto 90.5%.

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Published

2021-11-20

How to Cite

S. J., M., & N. P., S. (2021). Artificial Neural Network model for Respirable Particulate Matter Concentration Predictio. International Journal of Technical Innovation in Modern Engineering & Science, 4(6), 1479–1486. Retrieved from https://www.ijtimes.com/index.php/ijtimes/article/view/2030

Issue

Vol. 4 No. 6 (2018): Vol. 4 No. 6: Volume 4 Issue 6 (June-2018)

Section

Articles