Grey - Mutation Model of Residual Error Correction is Applied to the Landslide Time Prediction Research

DOI

10.2991/lemcs-15.2015.123How to use a DOI?

Keywords

Landslide; Time prediction; Grey - cusp mutation theory; Residual error correction; Model

Abstract

Landslide danger of early warning is to avoid a major means of state personnel and economic losses. In this paper, in order to effectively predict Baishuihe landslide danger instability, combined with the specific engineering practice, this paper first applies the grey theory of landslide displacement data processing, get the forecast data, and calculate the data of landslide displacement and landslide prediction residual value of the data, according to the theory of system engineering science and nonlinear science grey - cusp mutation theory, the landslide prediction and residual value is used to detect the mutation respectively, earn their forecasts, and amend the residual prediction data for landslide time value of the mutation happened. Compared with the test data of Baishuihe landslide, through the residual prediction correction forecast results than those not worth to more accurately predict time, it shows that the model can be more effective to predict landslide displacement mutation time.

Copyright

© 2015, 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  - Fuyou Liu
AU  - Yani Guo
AU  - Yong Liu
AU  - Fengbo Liu
PY  - 2015/07
DA  - 2015/07
TI  - Grey - Mutation Model of Residual Error Correction is Applied to the Landslide Time Prediction Research
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 636
EP  - 640
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.123
DO  - 10.2991/lemcs-15.2015.123
ID  - Liu2015/07
ER  -