基于MK-SVM算法的大坝位移快速预测模型研究OA

The displacement trend of the dam is very important for its safe operation,but there are relatively few studies on the rapid prediction model of the dam under unconventional conditions.In order to enable managers to efficiently grasp the changing behavior of dam displacement,a model for rapid prediction of dam displacement is constructed based on the multiple-kernels support vector machine(MK-SVM)algorithm.The range of model parameters is discussed,and the accuracy of the model is calculated by using relevant evaluation indicators.It can be seen from the engineering case that the trend of dam deformation predicted by the model is basically consistent with the measured deformation,and the prediction accuracy of the model can meet the needs of engineering operation.The results can provide useful reference for dam managers.