참고문헌
- Hye-Young Han, Bok-Haeng Heo, Sung-Hwa Jung, GyuWon Lee, Cheol-Hwan You, Jong-Ho Lee, "Elimination of Chaff Echoes in Reflectivity Composite from an Operational Weather Radar Network using Infrared Satellite Data," Atmosphere. Korean Meteorological Society, vol. 21, no. 3, pp. 285-301, 2011.
- Lakshmanan Valliappa, Angela Fritz, Travis Smith, Kurt Hondl, Gregory Stumpf, "An Automated Technique to Quality Control Radar Reflectivity Data," Journal of Applied Meteorology and Climatology, vol. 46, pp. 288-305, 2007. https://doi.org/10.1175/JAM2460.1
- M. Steiner, J. Smith, "Use of three-dimensional reflectivity structure for automated detection and removal of non-precipitating echoes in radar data," Journal of Atmospheric and Oceanic Technology, vol. 19, pp. 673-686, 2002. https://doi.org/10.1175/1520-0426(2002)019<0673:UOTDRS>2.0.CO;2
- Zhou Jiao, Gao Yuchun, "A Study on Removal of Radial Interference Echo with Weather Radar," 2010 International Conference on Multimedia Technology, pp. 1-5, 2010.
- Hansoo Lee, Ji Chul Park, Jong Guen Kim, Sungshin Kim, "Line-shaped non-precipitation echo detection using fuzzy inference system," IFSA World Congress and NAFIPS Annual Meeting, pp. 1074-1079, 2013.
- N. Friedman, D. Geiger and M. Goldszmidt, "Bayesian network classifiers," Machine learning, vol. 29, no. 2-3, pp. 131-163, 1997. https://doi.org/10.1023/A:1007465528199
- N. Friedman, and M. Goldszmidt. "Building classifiers using Bayesian networks." Proceedings of the national conference on artificial intelligence. pp. 1277-1284, 1996.
- C. Y. Hong, J. H. Park, T. S. Yoon, and J. B. Park, "A study on the bayesian recurrent neural network for time series prediction," Journal of Control, Automation,and Systems Engineering (in Korean), vol. 10, no. 12,pp. 1295-1304, Dec. 2004. https://doi.org/10.5302/J.ICROS.2004.10.12.1295
- D. Heckerman, "Bayesian networks for data mining," Data Mining and Knowledge Discovery, vol. 1, no. 1, pp. 79-119, Mar. 1997. https://doi.org/10.1023/A:1009730122752
- R. E. Neapolitan, Learning Bayesian Networks, Pearson Prentice Hall, New Jersey, 2004.
- C.A. Ratanamahatana and D. Gunopulos, "Feature selection for the naive bayseian classifier using decision tree," Applied Artificial Intelligence, vol. 17, no. 5-6, pp. 475-487, 2003. https://doi.org/10.1080/713827175
- J. Chen, H. Huang, S. Tian, Y. Qu, "Feature selection for text classification with Naive Bayes," Expert Systems with Applications, vol. 36, no. 3, pp. 5432-5435, 2009. https://doi.org/10.1016/j.eswa.2008.06.054
- R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, Machine learning: An artificial Intelligence Approach, vol. 2, Morgan Kaufmann, Portland, 1986.
- Keon Myung Lee, Won Jae Kim, Seok Jung Yun, "A Clinical Nomogram Construction Method Using Genetic Algorithm and Naive Bayesian Technique," Journal of The Korean Institute of Intelligent Systems, vol. 19, no. 6, pp. 796-801, 2009. https://doi.org/10.5391/JKIIS.2009.19.6.796
- Bomin Choi, Myung-Mook Han, "A Study of Threat Evaluation using Learning Bayesian Network on Air Defense," Journal of The Korean Institute of Intelligent Systems, vol. 22, no. 6, pp. 715-721, 2012. https://doi.org/10.5391/JKIIS.2012.22.6.715
- Song Ko, Daewon Kim, Bo-Yeong Kang, "A Matrix-Based Genetic Algorithm for Structure Learning of Bayesian Networks," International Journal of Fuzzy Logic and Intelligent Systems, vol. 11, no. 3, pp. 135-142, 2011. https://doi.org/10.5391/IJFIS.2011.11.3.135
피인용 문헌
- Analysis and Detection Method for Line-shaped Echoes using Support Vector Machine vol.24, pp.6, 2014, https://doi.org/10.5391/JKIIS.2014.24.6.665
- A Study on Fuzzy Logic based Clustering Method for Radar Data Analysis vol.25, pp.3, 2015, https://doi.org/10.5391/JKIIS.2015.25.3.217