Journal of the Korean Society of Hazard Mitigation

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Seismic Ground Response Analysis Based on Multilayer Perceptron and Convolution Neural Networks: Seokgyeong Hong, Jaehun Ahn; J. Korean Soc. Hazard Mitig. 2021;21(1):231-238. Published online February 28, 2021; DOI: https://doi.org/10.9798/KOSHAM.2021.21.1.231
Cited By 1; Full text PubReader ePub PDF


Development of Heavy Rain Damage Prediction Function Using Artificial Neural Network and Multiple Regression Model: Jongsung Kim, Changhyun Choi, Donghyun Kim, Myungjin Lee, Hung Soo Kim; J. Korean Soc. Hazard Mitig. 2017;17(6):73-80. Published online December 31, 2017; DOI: https://doi.org/10.9798/KOSHAM.2017.17.6.73
Cited By 4; Full text PubReader ePub PDF


Application of Artificial Neural Networks to Prediction of Construction Safety Accidents: Yeon-Choel Kim, Wi Sung Yoo, Yoonseok Shin; J. Korean Soc. Hazard Mitig. 2017;17(1):7-14. Published online February 28, 2017; DOI: https://doi.org/10.9798/KOSHAM.2017.17.1.7
Cited By 5; Full text PubReader ePub PDF


Bathymetry Estimation Using Aerial Imagery for Shallow Water Region: Jin-Hak Yi, Kyong-Ho Ryu, Changjoo Shin, Won-Dae Baek, Weon Mu Jeong; J. Korean Soc. Hazard Mitig. 2016;16(5):351-358. Published online October 31, 2016; DOI: https://doi.org/10.9798/KOSHAM.2016.16.5.351
Cited By 2; Full text PubReader ePub PDF


Development of an Artificial Neural Networks Model for the Required Safety Egress Time of an Office Room: J. Korean Soc. Hazard Mitig. 2014;14(6):27-33. Published online December 31, 2014; PDF

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