Settlement Prediction of Roadbed Based on Mixture Model with Exponential Curve and ANN

Guo Heng Li; Han Bing Liu; Xu Xi Qin

doi:10.4028/www.scientific.net/AMR.663.76

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 663Settlement Prediction of Roadbed Based on Mixture...

Settlement Prediction of Roadbed Based on Mixture Model with Exponential Curve and ANN

Abstract:

A mixture method based on exponential curve and ANN is presented according to settlement prediction of roadbed with measured data. Based on this method, the rule of roadbed settlement is classified into sure part and uncertain part. Exponential curve is used to model the sure part, and ANN to model the uncertain part, thus the mixture settlement model can be obtained. Prediction results show that the mixture model has advantages of high precision and small network scale; it provides a new method for settlement prediction of roadbed.

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Periodical:

Advanced Materials Research (Volume 663)

Pages:

76-79

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.663.76

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Online since:

February 2013

Authors:

Guo Heng Li, Han Bing Liu, Xu Xi Qin

Keywords:

Artificial Neural Network (ANN), Exponential Curve Method, Settlement Monitoring Technology, Settlement Prediction

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