CAJ | 학술논문

针对岩石抗剪强度参数具有随机性与模糊性的特点，提出一种基于试验样本到超平面距离作为隶属度函数的模糊支持向量回归方法，通过更加合理地设计隶属度函数，提高支持向量机的稳健能力，得到最优的参数估计。在此基础上，对岩石抗剪强度参数进行建模仿真，并进行估计。结果表明，基于模糊支持向量回归的方法与最小二乘法、随机－模糊法相比，不仅能减少异常试验数据对岩石抗剪强度参数的影响，而且得到的回归方程更符合试验样本整体分布，可反映岩石力学参数固有属性。
침대암석항전강도삼수구유수궤성여모호성적특점，제출일충기우시험양본도초평면거리작위대속도함수적모호지지향량회귀방법，통과경가합리지설계대속도함수，제고지지향량궤적은건능력，득도최우적삼수고계。재차기출상，대암석항전강도삼수진행건모방진，병진행고계。결과표명，기우모호지지향량회귀적방법여최소이승법、수궤－모호법상비，불부능감소이상시험수거대암석항전강도삼수적영향，이차득도적회귀방정경부합시험양본정체분포，가반영암석역학삼수고유속성。
For the randomness and fuzziness of determining shear strength parameters for rock,support vector regression theory was proposed based on membership function of the distance from test sample to hyper-plane. By designing membership functions rationally,improving robust ability of SVM,optimal parameter estimation could be obtained. A model of shear strength parameters for rock has been built and the parameters were estimated based on that. The results showed that,compared with the least squares and random method,fuzzy support vector regression not only could reduce the impact of abnormal shear test data on the parameters,but also could achieve regression equation,which was further conform to the overall distribution of the test sample and reflect intrinsic properties of rock mechanics parameters.