Settlement Prediction of Buildings Based on BP Neural Network

Jian Cheng Li

doi:10.4028/www.scientific.net/AMM.602-605.3232

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Design and Hardware Implementation of Image Compression Denoising Based on Median Filter and Wavelet Transform
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Image Transmission Based on QC-LDPC Codes with Simple Recursive Encoding Form
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Reconstruction of 3D Strata Model Based on Data from Multiple Sources
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Settlement Prediction of Buildings Based on BP Neural Network
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Analysis of Three-Dimensional Reality Modeling Algorithm in Animation Design
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Settlement Prediction of Buildings Based on BP...

Settlement Prediction of Buildings Based on BP Neural Network

Abstract:

At present, the traditional neural network model have been used in settlement prediction of buildings area, but there are some limitations. In this paper, BP neural network is applied in the settlement prediction of buildings and the prediction result is compared with the measured values. The results show that: the use of BP neural network to predict the settlement of existing buildings is feasible. The study results can provide a reference for the anti-seismic performance census of existing large area buildings.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3232-3234

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3232

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Online since:

August 2014

Authors:

Jian Cheng Li*

Keywords:

BP Neural Network (BPNN), Genetic Algorithm (GA), Settlement Prediction

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* - Corresponding Author

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