摘要
支持向量机是一种基于统计学习理论和结构风险最小化原则的新型机器学习算法。介绍了支持向量机分类概率估计和回归估计,构造基于模态频率的损伤指标标识量,根据分类概率估计与回归算法计算结构损伤位置及程度。通过简支梁仿真算例,验证了该方法的有效性。
Support vector machine is based on statistical learning theory and structural risk minimization principle of a new machine learning algorithm. The examples to construct the modal frequency of the damage index mark, and calculate the probability of damage location and the extent of the structure, were given. The method was verified through the simple beam simulation example.
出处
《唐山师范学院学报》
2010年第2期63-66,共4页
Journal of Tangshan Normal University
关键词
支持向量机
模态频率
结构损伤
support vector machine（SVM）
modal frequency
structural damage
