基于支持向量机模型的深基坑变形预测研究

支持向量机是近年来在统计学习理论基础上发展起来的一种新的模式识别方法,在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势.将支持向量机用于基坑变形预测,根据基坑位移的实测时间序列资料,建立基坑位移与时间的关系模型.将实际基坑工程监测资料作为学习训练样本和测试样本,将模型计算结果与实际监测值进行对比分析、研究....

Prediction of Deep Pit Deformation Based on Model of Support Vector Machine

The support vector machine is a new mode recognition method developed based on statistical learning method in recent years and exhibits many unique advantages in solving problems of small sample,non-linearity and high-dimensional recognition mode.This paper uses the support vector machine in prediction of pit deformation to establish the relation model between pit displacement and time based on measured time sequence data of pit displacement.The paper takes monitoring data for actual pit projects as learnin...