Proceedings of the Korea Contents Association Conference (한국콘텐츠학회:학술대회논문집)
- 2015.05a
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- Pages.3-4
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- 2015
A Trial of Disaster Risk Diagnosis Based on Residential House Structure by a Self-Organizing Map
- Wakuya, Hiroshi (Saga University) ;
- Mouri, Yoshihiko (Saga University) ;
- Itoh, Hideaki (Saga University) ;
- Mishima, Nobuo (Saga University) ;
- Oh, Sang-Hoon (Mokwon University) ;
- Oh, Yong-Sun (Mokwon University)
- Published : 2015.05.01
Abstract
A self-organizing map (SOM) is a good tool to visualize applied data in the form of a feature map. With the help of such functions, a disaster risk diagnosis based on the residential house structure is tried in this study. According to some computer simulations with actual residential data, it is found that overall tendencies in the developed feature map are acceptable. Then, it is concluded that the proposed method is an effective means to estimate disaster risk appropriately.
Keywords
- disaster risk diagnosis;
- residential house structure;
- neural network model;
- self-organizing map (SOM);
- feature map