Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2019.05a
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- Pages.341-343
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- 2019
Non-linearity Mitigation Method of Particulate Matter using Machine Learning Clustering Algorithms
기계학습 군집 알고리즘을 이용한 미세먼지 비선형성 완화방안
- Lee, Sang-gwon (Department of Electrical, Electronics & Communication Engineering, Korea University of Technology and Education(KOREATECH)) ;
- Cho, Kyoung-woo (Department of Electrical, Electronics & Communication Engineering, Korea University of Technology and Education(KOREATECH)) ;
- Oh, Chang-heon (Department of Electrical, Electronics & Communication Engineering, Korea University of Technology and Education(KOREATECH))
- Published : 2019.05.23
Abstract
As the generation of high concentration particulate matter increases, much attention is focused on the prediction of particulate matter. Particulate matter refers to particulate matter less than
고농도 미세먼지 발생이 증가함에 따라 미세먼지 예측에 많은 관심이 집중되고 있다. 미세먼지는 대기 중에 있는 직경