Improved BP Neural Network Model Applied in Settlement Analysis

Liang Bo Gao

doi:10.4028/www.scientific.net/AMM.580-583.2848

Paper Titles

Analysis of Underground Space Azimuth Measuring and Data Processing in a Tunnel
p.2828

Study on Application of Terrestrial 3D Laser Scanning Technology in the Calculation of the Fine Earthwork
p.2833

Application and Research of 3D Laser Scanning Technology in Steel Structure Installation and Deformation Monitoring
p.2838

Discussion on the Application of GPS Technology in Bridge Construction Plane Control Net and in Survey of Bridge Axis Lofting
p.2842

Improved BP Neural Network Model Applied in Settlement Analysis
p.2848

Multi-Scale Classification Based on Remote Sensing
p.2853

Research on GPS Height Partition Fitting Method
p.2860

GPS RTK Techniques for Construction Monitoring of Super Deep-Water Open-Caisson
p.2865

Triangle Interpolation on Discrete Point Set
p.2872

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583Improved BP Neural Network Model Applied in...

Improved BP Neural Network Model Applied in Settlement Analysis

Abstract:

According to the settlement and deformation of pavement in subway construction, the paper improved on the basis of gray system theory and BP neural network forecasting model. The method is adapted to modified residual prediction model to predict with engineering examples. It provides decision-making basis for construction engineering and monitoring.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

2848-2852

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.2848

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Online since:

July 2014

Authors:

Liang Bo Gao*

Keywords:

Analysis and Forecasting, BP Neural Network (BPNN), Settlement, Subway

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References

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