Blasting vibration peak prediction method based on improved SVM algorithm

• Main Authors: ZHAI RUI, LI KANG, LIU QIANG, REN HAITAO, HU RUOQI, LU HAOLUN, QIN WENXUE, JIANG BO, SUN NAN, NING SHIKAI, SONG ZHANPING, HE ZE, ZHANG BAICHAO
• Format: Patent
• Language: Chinese; English
• Published: 12.07.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a blast vibration peak prediction method based on an improved SVM (Support Vector Machine) algorithm, relates to the technical field of machine learning and engineering blast vibration safety, and particularly aims to solve the problem that the existing prediction accuracy and reliability still need to be improved in the background technology. The blast vibration peak prediction method based on the improved SVM algorithm comprises the following steps: S1, constructing an original data set; s2, preprocessing the original data set; s3, carrying out cleaning and feature extraction on the processed data set; s4, obtaining a final improved SVM prediction model; s5, measuring the performance of the final improved SVM prediction model; according to the method, the prediction capability of the SVM network is improved, so that the vibration intensity can be accurately predicted, and reference is provided for engineering decision making. 本发明公开了一种基于改进SVM算法的爆破振动峰值预测方法，涉及机器学习以及工程爆破振动安全技术领域，具体在于解决背景