Particulate Matter AQI Index Prediction using Multi-Layer Perceptron Network

다층 퍼셉트론 신경망을 이용한 미세먼지 AQI 지수 예측

  • Cho, Kyoung-woo (Korea University of Technology and Education(KOREATECH)) ;
  • Lee, Jong-sung (Korea University of Technology and Education(KOREATECH)) ;
  • Oh, Chang-heon (Korea University of Technology and Education(KOREATECH))
  • Published : 2019.05.23

Abstract

With many announcements on air pollution and human effects from particulate matters, particulate matter forecasts are attracting a lot of public attention. As a result, various efforts have been made to increase the accuracy of particulate matter forecasting by using statistical modeling and machine learning technique. In this paper, the particulate matter AQI index prediction is performed using the multilayer perceptron neural network for particulate matter prediction. For this purpose, a prediction model is designed by using the meteorological factors and particulate matter concentration values commonly used in a number of studies, and the accuracy of the particulate matter AQI prediction is compared.