A Prediction Method of Bearing Capacity of CFG Pile Composite Foundation Based on Support Vector Machine

Abstract:

A prediction method of bearing capacity of CFG pile composite foundation was presented based on that support vector machine and corresponding prediction model was set up. To obtain the model coefficients, 18 groups of test data of CFG pile composite foundation were trained, the training value conforms well to the test value. Then the model was used to predict another 4 groups of test data. The result showed that the prediction value was close to the test value. The theoretical analysis and practical example indicated that the prediction method of bearing capacity of CFG pile composite foundation based on support vector machine is accurate and reliable.

• Periodical: Applied Mechanics and Materials (Volumes 438-439)
• Pages: 1419-1422
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.438-439.1419
• Online since: October 2013
• Authors: Qing Liu, Wei Ding, Kai Kang, Xiao Han, Bing Yu Wang
• Keywords: Bearing Capacity, CFG Pile, Prediction, Support Vector Machine (SVM)

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