Research on Rapid Assessment of Earthquake Death Toll Based on Neural Network
Haoyu Wu, Xinyan Wu, Hongwei Li, Yong Luo
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.27How to use a DOI?
- death toll; BP neural network; earthquakes; rapid assessment
- 101 post-1960 fatal earthquakes in China mainland were selected to build a BP neural network model for rapid earthquake fatality estimation. In this model, event time, magnitude, epicenter intensity, population density and the event region were selected as input vectors. While, the fatality was assigned as output vector. An empirical test shows that the BP neural network model can give a more accurate assessment, with a good match to the real death toll. This approach can be applied in rapid earthquake losses estimation, and provide scientific basis for emergency rescue and government decision-making.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Haoyu Wu AU - Xinyan Wu AU - Hongwei Li AU - Yong Luo PY - 2016/11 DA - 2016/11 TI - Research on Rapid Assessment of Earthquake Death Toll Based on Neural Network BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press UR - https://doi.org/10.2991/rac-16.2016.27 DO - https://doi.org/10.2991/rac-16.2016.27 ID - Wu2016/11 ER -