딥러닝 분석을 이용한 미세먼지 농도 예측에 관한 연구

In this paper, we try to predict the fine dust concentration and analyze the fine dust trend using the deep running. In this paper, a prediction model of fine dust concentration was developed and analyzed considering that the weather such as wind direction, wind speed, temperature, humidity, air pressure affects the fine dust concentration. Since the fine dust concentration has a time series characteristic, it is modeled using RNN. This study was conducted using tensorflow.