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수자원분야에서의 기계학습 적용(2)  

Han, Geon-Yeon (경북대학교 토목공학과)
Kim, Hyeon-Il (경북대학교 토목공학과)
Publication Information
Water for future / v.52, no.10, 2019 , pp. 49-58 More about this Journal
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Robson, A.J., Jones, T.K., Reed, D.W. and Bayliss, A.C. (1997). A study of national trend and variation in UK floods. International J. Climatology, Vol. 18, pp.165-182.   DOI
2 Sun, A.Y., Wang, D. and Xu, X. (2014). Monthly streamflow forecasting using gaussian process regression. Journal of Hydrology. Vol. 511, pp. 72-82.   DOI
3 Vapnic, V.N. (1998). Statistical Learning Theory. John Wiley & Sons, New York.
4 Yu, P.S., Chen, S.T. and Chang, I.F. (2006). Support vector regression for real-time flood stage forecasting. Journal of Hydrology, 328, 704-716.   DOI
5 Araghinejad, S. (2013). Data-Driven Modeling: Using MATLAB in Water Resources and Environmental Engineering. Water Science and Technology Library, Springer.
6 Chang, C.C. and Lin, C.J. (2001). LIBSVM: A Library for Support Vector Machines. Department of Computer Science, National Taiwan University, Taipei, Taiwan.
7 Chau, K.W. and Wu, C.L. (2010). Hydrological Predictions Using Data-Driven Models Coupled with Data Preprocessing Techniques. Lambert Academic Publishing.
8 Choi, H.G., Han, K.Y., Roh, H.S. and Park, S.J. (2013). Comparison of databased real-time flood forecasting model. Journal of the Korean Society of Civil Engineers, Vol. 33, No.5, pp. 1809-1827.   DOI
9 Kim, H.I., Keum, H.J. and Han, K.Y. (2018). Estimation of inundation area by linking of rainfall-duration-flooding quantity relationship curve with self-organizing map. Journal of the Korean Society of Civil Engineers, Vol. 38, No.6, pp. 839-850.   DOI
10 Kim, J.H., Lee, S.W. and Cha, S.M. (2016). Environmental Statistics & Data Analysis. Hannarae.
11 Murphy, K.P. (2012). Machine Learning : A Probabilistic Perspective. Massachusetts Institute of Technology.
12 Noh, Y.J. (2016). A comparison study on statistical modeling methods. Journal of the Korea Academia-Industiral cooperation Society. Vol. 17, No.5, pp. 645-652.   DOI
13 Pradhan, B. (2009). Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. Journal of Spatial Hydrology, Vol. 9, No. 2, pp. 1-18.
14 Park, J.H., Lee, J.J. and Lee, S.H. (2018). Statistical significance test of polynomial regression equation for Huff's quartile method of design rainfall. J. Korea Water Resour. Assoc., Vol. 51, No.3, pp. 263-272.   DOI