Prediction method of landslide disaster in southern China based on multi attribute group decision making

DOI

10.2991/mmebc-16.2016.416How to use a DOI?

Keywords

landslide; prediction model; geological analysis; decision-making model

Abstract

According to prediction of landslide based on grey vector machine model, the landslide is affected by multiple factors such as soil layer structure and these factors show complicated non-linear relation with landslide, while it is hard for the traditional model to reflect the non-linear complicated relation. The prediction model for law of landslide established by grey model and neural network model can better predict the complicated surface subsidence and can effectively improve the predicted precision compared with the single model. Not only the reliability of prediction system is improved, but also the cost of the whole system is reduced

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Siyuan Zhang
AU  - Weizhong Ren
AU  - Xinxin Zhang
AU  - Haikang Liu
PY  - 2016/06
DA  - 2016/06
TI  - Prediction method of landslide disaster in southern China based on multi attribute group decision making
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2078
EP  - 2083
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.416
DO  - 10.2991/mmebc-16.2016.416
ID  - Zhang2016/06
ER  -