中国机械工程2016，Vol.27Issue(8)：1072-1077,6.DOI:10.3969/j.issn.1004-132X.2016.08.014
基于非负矩阵分解的产品结构相似性判断及其应用
Similarity Judgment of Product Structure Based on Non negative Matrix Factorization and Its Applications
摘要
Abstract
In order to find reusable product structure promptly,an approach of measuring the similarity among product structures was proposed based on non�negative matrix factorization.A comG prehensive matrix which containsed all structures was constructed on the basic of adj acent vectors that were transformed from the adj acent matrices of product structures.The non�negative matrix factorizaG tion for the comprehensive matrix was implemented based on Multiplicative Updates(MU)algorithm. Then all product structures might be described in low dimensional space.On the basis of these,the similarity between two product structures could be measured by calculating the Euclidean distance aG mong these low dimensional vectors.Finally,an example was presented to verify the principles and methods mentioned above.The results show that the proposed methodologies are more effective than those of the existing methods.关键词
产品结构/非负矩阵分解/相似性/欧氏距离Key words
product structure/non�negative matrix factorization/similarity/Euclidean distance分类
信息技术与安全科学引用本文复制引用
徐新胜,王诚,肖颖..基于非负矩阵分解的产品结构相似性判断及其应用[J].中国机械工程,2016,27(8):1072-1077,6.基金项目
国家自然科学基金资助项目(51405462,51175486) （51405462,51175486）
浙江省科技厅公益性技术应用研究计划资助项目(2013C31132,2014C31117) （2013C31132,2014C31117）
