Application of Neural Network in Surface Movement and Deformation Analysis

Zhong Ping Guo; Dao Zhi Chen; Tao Zhang

doi:10.4028/www.scientific.net/AMR.524-527.531

Paper Titles

Open-Pit Mine Fine DEM Model Establishment and Updating
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Risk Assessment of Tailings Pond Based on Triangular Fuzzy Theory
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Analysis on Characteristics of Surface Subsidence with Han Jia Wan Coal Mine
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Analysis on Key Strata’s Subsidence in Paste-Like Filling Face
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Application of Neural Network in Surface Movement and Deformation Analysis
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Application of Weighted Moving Average Model on the Pre-Warning of Coal and Gas Outburst
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Application of Y+L Ventilation to Gas Control on 3303 Mining Face
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Applying Plugging Technology to Fire Prevention of Mining without Coal Pillar
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Causation Analysis of Roof Cutting and Support Crushing in Shallow-Buried Large Mining Height Long Wall Working Face of Western China
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 524-527Application of Neural Network in Surface Movement...

Application of Neural Network in Surface Movement and Deformation Analysis

Abstract:

In order to make a comprehensive and accurate prediction of surface movement and deformation in the thin coal seams mining under buildings, mathematical model of the selection of rock movement parameter is established by the way of artificial neural network; ground surface movement and deformation is predicted and analyzed through probability integral method, mining scheme of the thin coal seams mining under buildings in a coal mine is determined.

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Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

531-534

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.524-527.531

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Online since:

May 2012

Authors:

Zhong Ping Guo, Dao Zhi Chen, Tao Zhang

Keywords:

Neural Network (NN), Probability-Integral Method, Rock Movement Parameter, Surface Movement and Deformation

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References

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