Slope deformation prediction method considering uncertain influence of different elements
The invention relates to a slope deformation prediction method considering the influence of different-element uncertainty. The method comprises the following steps: processing related historical monitoring data; dividing the processed data into a learning sample set, a calibration sample set and a p...
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Main Authors | , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
25.04.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to a slope deformation prediction method considering the influence of different-element uncertainty. The method comprises the following steps: processing related historical monitoring data; dividing the processed data into a learning sample set, a calibration sample set and a prediction set; constructing a plurality of interval prediction models by taking the learning sample set as the input of the anisotropic elasticity-based long-short-term memory neural network; combining the obtained interval prediction model with a corresponding calibration sample to perform preliminary perception, obtaining a corresponding shape-preserving score group according to a relationship between an actual observation value and an output prediction interval, and calculating empirical probability quantiles respectively; and performing adaptive optimization on the prediction interval generated by each model by using an empirical probability quantile, so that each constructed interval prediction model obtains o |
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Bibliography: | Application Number: CN202310065477 |