The Research of Tailings Pond Deformation Displacement Prediction Based on Wavelet Neural Network

Ping Ping Liu; Ying Jun Hao

doi:10.4028/www.scientific.net/AMM.271-272.1726

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 271-272The Research of Tailings Pond Deformation...

The Research of Tailings Pond Deformation Displacement Prediction Based on Wavelet Neural Network

Abstract:

In order to ensure the safe operation of the tailings pond, and control the occurrences of mine accidents, Strengthening the security research and Establish forecasting model are important. This paper takes dam deformation as the research key, takes the online monitoring as row data, and takes deformation factors as the main line, then uses the method of wavelet neural network, finally establish the prediction model and then analyze. The result shows that this method avoids the concrete form of knowledge representation and has the great nonlinear function approaching capability.

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Periodical:

Applied Mechanics and Materials (Volumes 271-272)

Pages:

1726-1730

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.271-272.1726

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Online since:

December 2012

Authors:

Ping Ping Liu, Ying Jun Hao

Keywords:

Dam Deformation, Prediction, Tailings Pond, Wavelet Neural Network (WNN)

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