基于模糊聚类-模糊模式识别的复合材料高温机械性能评价  

Evaluation of High-Temperature Mechanical Properties of a Composite Based on Fuzzy Clustering-Fuzzy Pattern Recognition

作　　者：杨榛[1,2] 顾幸生[2] 梁晓怿[1] 凌立成[1] 

机构地区：[1]华东理工大学化学工程联合国家重点实验室,上海200237 [2]华东理工大学信息科学与工程学院,上海200237

出　　处：《华东理工大学学报（自然科学版）》2008年第6期819-824,共6页Journal of East China University of Science and Technology

基　　金：国家自然科学基金(50672025)

摘　　要：将模糊聚类和模糊模式识别相结合的识别方法应用于具有多模糊特征变量的复合材料高温机械性能的识别中。对给定特征的复合材料进行模糊分类,建立群体模式。通过模糊模式识别在模式库中对检验样本进行匹配,实现对未知材料的聚类识别。结果表明:对于多因子相关的复合材料性能,两种方法的结合是有效可行的,可以满足经济性和准确性的要求。Fuzzy clustering and fuzzy pattern recognition are used jointly to evaluate the high-temperature mechanical properties of a composite. The composite has multi-fuzzy characteristics. The physicalmechanical properties of common composites are taken as the samples and the fuzzy classification analysis is carried out so as to set up the group patterns. Thus, the unknown material is recognized by matching the test sample with the achieved patterns. The results show that the combination of the above two methods is feasible and effective for composite evaluation.

关 键 词：模糊聚类 模糊模式识别 复合材料性能评价 

分 类 号：TB332[一般工业技术—材料科学与工程]