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Bagging landslide forecasting method

A technology of forecasting models and algorithms, applied in forecasting, complex mathematical operations, resources, etc., and can solve problems such as low accuracy

Pending Publication Date: 2021-02-19
XI'AN POLYTECHNIC UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a kind of Bagging landslide forecasting method, has solved the low problem of accuracy existing in the prior art

Method used

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  • Bagging landslide forecasting method
  • Bagging landslide forecasting method
  • Bagging landslide forecasting method

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Embodiment

[0170] 1) Through the detailed investigation and analysis of the disaster-causing factors of geological disasters in Shanyang County, Shaanxi Province, it is found that the disaster-causing factors are not only related to internal rock formations and geological conditions, but also have certain relationships with related external factors, but these The effects of the factors are different, so the present invention screens the main influencing factors of the landslide disaster through the nuclear principal component analysis method, sorts and selects the importance of the factors, and reduces the time and steps in model training. Since the selection of hazard factors in high-dimensional space is a nonlinear problem, the KPCA method has become an effective method for dimensionality reduction screening due to its advantages of simple algorithm, small reconstruction error and easy solution to nonlinear problems. The screening process is as follows:

[0171] Hypothetical sample set...

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Abstract

The invention discloses a Bagging landslide forecasting method which is specifically implemented according to the following steps: step 1, selecting landslide disaster-forming factors by adopting a kernel principal component analysis method; step 2, constructing a landslide geological disaster forecasting model based on Bagging by utilizing the data obtained in the step 1; and step 3, adopting anXGBoost optimization Bagging algorithm to complete landslide prediction. The problem of low accuracy in the prior art is solved.

Description

technical field [0001] The invention belongs to the technical field of landslide displacement prediction and relates to a Bagging landslide prediction method. Background technique [0002] Geological disasters are natural phenomena that, under the influence of natural evolution or human factors, are extremely harmful to people's lives and property, including earthquakes, mudslides, landslides, collapses, and volcanic magma eruptions. my country has a vast territory and complex and diverse topographical conditions, especially in mountainous areas and other places, where geological tectonic movements are intense, and geological disasters occur frequently due to unreasonable human activities such as residents' reconstruction of mountainous areas. According to the classified statistics of relevant data on disasters in my country from 2009 to 2018, domestic landslide disasters accounted for 65% of the total occurrence, so it is very necessary to predict the occurrence of landslid...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/04G06Q10/06G06F17/16
CPCG06F17/16G06Q10/04G06Q10/0635G06F18/2411G06F18/24323G06F18/214
Inventor 李丽敏张明岳温宗周郭伏陈曙东张俊何洋魏雄伟
Owner XI'AN POLYTECHNIC UNIVERSITY
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