최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국IT서비스학회지 = Journal of Information Technology Services, v.18 no.1, 2019년, pp.173 - 186
Recently, as the amount of fine dust has risen rapidly, our interest is increasing day by day. It is virtually impossible to remove fine dust. However, it is best to predict the concentration of fine dust and minimize exposure to it. In this study, we developed a mathematical model that can predict ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
Cha, J.W. and J.Y. Kim, "Development of Data Mining Algorithm for Implementation of Fine Dust Numerical Prediction Model", Journal of the Korea Institute of Information and Communication Engineering, Vol.22, No.4, 2018, 595-601.
Cortes, C. and V. Vapnik, "Support-vector networks", Machine Learning, Vol.20, No.3, 1995, 273-297.
Hagan, M.T., H.B. Demuth, M.H. Beale, and O. Jesus, Neural Network Design (2nd Edition), Martin Hagan, 2014.
Joun, S.W., J.Y. Choi, and J.H. Bae, "Performance Comparison of Algorithms for the Prediction of Fine Dust Concentration", Proceedings of Korea Computer Congress, The Korean Institute of Information Scientists and Engineers, No.12, 2017, 775-777.
Kang, T.C. and H.B. Kang, "Machine Learningbased Estimation of the Concentration of Fine Particulate Matter Using Domain Adaptation Method", Journal of Korea Multimedia Society, Vol.20, No.8, 2017, 1208-1215.
Koo, Y.S., H.Y. Yun, H.Y. Kwon, and S.H. Yu, "A Development of PM10 Forecasting System", Journal of Korean Society for Atmospheric Environment, Vol.26, No.6, 2010, 666-682.
Lee, J.G., Multivariate Analysis and Data Mining with R, Hwangso Academy, 2016.
Lee, M.H., Korea-China collaborative study to abate trans-boundary air pollution(II), National Institute of Environmental Research, Research Report, 2016. 6.
Liu, Z., M.J. Zuo, X. Zhao, and H. Xu, "An Analytical Approach to Fast Parameter Selection of Gaussian RBF Kernel for Support Vector Machine", Journal of Information Science and Engineering, Vol.31, No.2, 2015, 691-710.
Oh, B.D., J.H. Park, and Y.S. Kim, "Prediction of the concentration of PM10 using Machine-Learning", Proceedings of The Korean Institute of Information Scientists and Engineers Winter Conferences, No.12, 2016, 1674-1676.
Oh, J.M., H.S. Shin, Y.S. Shin, and H.C. Jeong, "Forecasting the Particulate Matter in Seoul using a Univariate Time Series Approach", Journal of the Korean Data Analysis Society, Vol.19, No.5, 2017, 2457-2468.
Shin, E.K., J. Kim, and Y. Choi, "A Study on the Data Model Design of Fine Dust Related Disease", Journal of The Korea Society of Information Technology Policy & Management, Vol.10, No.1, 2018, 655-659.
Shin, M.K., C.D. Lee, H.S. Ha, C.S. Choe, and Y.H. Kim, "The Influence of Meteorological Factors on PM10 Concentration in Incheon", Journal of Korean Society for Atmospheric Environment, Vol.23, No.3, 2007, 322-331.
Tofallis, C., "A Better Measure of Relative Prediction Accuracy for Model Selection and Model Estimation", Journal of the Operational Research Society, Vol.66, No.8, 2016, 1352-1362.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.