About Us    Research    Publication    Member    Webmail    :: Member Professor Chang-Hoi Ho Students Seoyeon Lee Ingyu Park Dong-Gyu Hyeon Ka-Young Kim Seungwoo Yoo Hee-Ae Kim Bokyung Kong Sohee Park Visiting Students Weizhen Chen Past Members Ph.D. Course : Ingyu Park Tel: 82-2-3277-6052 Email: pirm99@snu.ac.kr Education 2017.2 B.S. in Department of Atmospheric Science, Kongju National University, Korea. Research Interest My research interest is predicting air quality using a deep learning. Nowadays machine learning gets a lot of attention from many people in a field such as picture classification, stock market prediction, generative data, and so on. I am using recurrent neural network that can adjust to time flow for a prediction of particulate matter. In the future, I have a plan to use a convolutional neural network and generative adversarial network based on meteorological field. These machine learning techniques are applied to atmospheric pattern analysis Publications Ho, C.-H., I. Park, J. Kim, and J.-B. Lee, 2023, PM2.5 forecast in Korea using the long short-term memory (LSTM) model, Asia-Pacific Journal of Atmospheric Sciences, 59, 563-576 Kim, D., C.-H. Ho, I. Park, J. Kim, L.-S. Chang, and M.-H. Choi, 2022, Untangling the contribution of input parameters to an artificial intelligence PM2.5 forecast model using the layer-wise relevance propagation method, Atmospheric Environment, 276, 119034 Ho, C.-H. I. Park, H.-R. Oh, H.-J. Gim, S.-K. Hur, J. Kim, and D.-R. Choi, 2021, Development of a PM2.5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea, Atmospheric Environment, 245, 118021 Email 주소 무단수집 금지, Copyright(C) 2006 CPL, All Rights Reserved