The Regression Prediction Analysis of Grouting Concretion Stone’s Strength Based on SVR

Jin Sheng Lei; Jian Fei Chen; Xue Ting Cao; Qian Feng Wang

doi:10.4028/www.scientific.net/AMR.859.171

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The Regression Prediction Analysis of Grouting Concretion Stone’s Strength Based on SVR
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 859The Regression Prediction Analysis of Grouting...

The Regression Prediction Analysis of Grouting Concretion Stone’s Strength Based on SVR

Abstract:

Cement-based grouting material is used for the grouting of gravel soil, and do compressive strength tests for the grouting concretion stones. Use the method of support vector machines for regression (SVR) to deal with the test data and predict the grouting concretion stones strength. Specific methods are as follows: randomly select 20 groups of the specimens for training, the remaining specimens for predicting, and then establish the relationship between the performance of soil body medium, grouting materials, grouting pressure and strength of concretion stones strength. The research results show that the support vector machines method can judge the sensitivity to impact indicators of grouting stones strength, and predict and analysis the grouting stones strength under multiple factors.

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Periodical:

Advanced Materials Research (Volume 859)

Pages:

171-176

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.859.171

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Online since:

December 2013

Authors:

Jin Sheng Lei*, Jian Fei Chen, Xue Ting Cao, Qian Feng Wang

Keywords:

Concretion Stones Strength, Grouting, Regression Prediction, SVR

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