Wavelet Estimation Method for Short-Term Prediction of Deep Pit Settlement

Jian Guo; Neng Hui Lin; Qi Mei Yang

doi:10.4028/www.scientific.net/AMR.594-597.2876

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 594-597Wavelet Estimation Method for Short-Term...

Wavelet Estimation Method for Short-Term Prediction of Deep Pit Settlement

Abstract:

A wavelet estimation method is presented herein to estimate deep pit settlement. In this method, the pit settlement is decomposed into the trend settlement and the stochastic settlement by using Wavelet Analysis based on the characteristic of influencing factor. The model identifier is established by using artificial neural network (ANN), and trained to approximate the trend settlement. Then, the prediction controller developed could be applied for estimating the actual settlement. Finally, the verification examples show that the WIAN is an effective tool for predicting the pit settlement dynamically , high precision could be expected and achieved.

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Periodical:

Advanced Materials Research (Volumes 594-597)

Pages:

2876-2879

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.594-597.2876

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Online since:

November 2012

Authors:

Jian Guo, Neng Hui Lin, Qi Mei Yang

Keywords:

Artificial Neural Network (ANN), Model Identifier, Pit Settlement, Wavelet Transformation

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