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The Application of the AIS to Prediction of Landslide Hazard

Author: YuanYong
Tutor: ShiZeJin；GuoKe
School: Chengdu University of Technology
Course: Applied Mathematics
Keywords: Landslide prediction Artificial Immune System Filtering Mutations Multi-model fusion
CLC: P642.22
Type: Master's thesis
Year: 2005
Downloads: 289
Quote: 7
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Abstract


China is one of the countries most affected by landslide hazards in the world , currently threatened by landslide areas accounted for the country 's land area of 1 / 5 to 1 / 4 each year due to landslides caused economic losses of about 20 billion yuan . No sufficient economic and technical strength of the existence of the threat of landslides comprehensive governance in our case , continue to carry out a new approach to the forecasting of landslide hazard and improve the accuracy of forecasting , as much as possible to reduce the losses of the disaster , with a very important practical significance . At present, the people making the time of the landslide forecast often only cares about theory in forecasting models , methods, and the development of information systems , few landslide forecasting process involves some basic theory and key technology issues depth. For the above reasons , this paper recently developed artificial immune system ( AIS), to solve several key issues : (1) the identification of the application of artificial immune system diversity constructor immune algorithm , landslide monitoring data preprocessing get better results. (2 ) the application of artificial immune system immune genetic algorithm to identify landslide mutations , given a suitable method of discriminant landslide deformation stage . ( 3 ) application of traditional immune algorithm fusion of several typical forecasting model , integrated forecasting results . Selected monitoring data in the process of solution of the above problems , the more complete the Danba landslide and the new beach landslide involved a model and algorithm testing and validation . The results show that this new theoretical method has solved more than a few key issues that plagued landslide research , a new research ideas for the the landslides time forecasting .

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CLC: > Astronomy,Earth Sciences > Geology > Hydrogeology and Engineering Geology > Engineering Geology > The geological and engineering geological > Landslide
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