支持向量回归在岩土工程中的应用

针对岩土工程影响因素的极其复杂性,引入支持向量机方法,给出了应用支持向量回归解决问题的基本原理与算法步骤·以矿山周边建筑物爆破震动效应分析为例,建立了建筑物中峰值质点振速的预测模型·实例分析表明预测值与实测值具有很好的一致性,验证了支持向量回归小样本高效的自学习能力以及高度非线性的问题处理能力,是解决复杂岩土工程问题的有效分析工具·通过试验探讨了算法参数选择对应用结果尤其是回归预测模型泛化能力的影响规律·

Application of Support Vector Regression in Rock and Soil Engineering

For the extremely complex relationships among influencing factors in geotechnical engineering, the support vector machine (SVM) was introduced in and the basic algorithm of support vector regression (SVR) was presented for complex geotechnical system modeling predicting in practical applications. The powerful capabilities of SVR for efficient self-learning over small data sets and solving highly nonlinear problems were illustrated with an estimation of structural response to the mining-induced blast vibration of structures around a mine. The satisfactory results showed that the method proposed provides a feasible and promising alternative to deal with the complexities in geotechnical engineering. In addition, some experiments were performed to examine the sensitivity of parameter selection in SVR, with some important conclusion and advice obtained for further applications.