The Application of BP Artificial Neural Network in Geotechnical Engineering

Na Zhao

doi:10.4028/www.scientific.net/AMM.580-583.823

Paper Titles

Experimental Study on Bearing Mechanism of Jacked Pipe Pile in Sand
p.801

On Stability and Deformation of Slurry-Trench Affected by Formation Equipment
p.805

Two-Dimensional Problem of Moisture Elasticity of Inhomogeneous Spherical Array with Cavity
p.812

Development of the Monitoring Guidance System for Slope Engineering
p.819

The Application of BP Artificial Neural Network in Geotechnical Engineering
p.823

Numerical Simulation of Slope Excavation in Highway Renovation and Expansion Project
p.827

On Fire Severity of Flammable Gas
p.831

Study on Cover Backfilling of Open Pit to Underground Basing on Natural Classification
p.835

A New Geometrical Model of Fluid Flow in Rock Fractures for Valid Application of the Cubic Law
p.841

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583The Application of BP Artificial Neural Network in...

The Application of BP Artificial Neural Network in Geotechnical Engineering

Abstract:

Based on MATLAB, the article apply BP artificial neural network theory on the forecasting problem of time sequence in geotechnical engineering, and find it is an effecting way to solve the forecasting problem of time sequence in geotechnical engineering.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

823-826

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.823

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Online since:

July 2014

Authors:

Na Zhao

Keywords:

BP Artificial Network, Forecasting, Time Sequence

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References

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