烟草科技2019，Vol.52Issue(8)：67-76,10.
基于非负矩阵分解的卷烟配方维护方法
Cigarette blend maintenance based on non-negative matrix factorization
摘要
Abstract
In order to promote the efficiency and decrease the cost in cigarette blend maintenance, a method based on non-negative matrix factorization (NMF) was proposed. The cigarette blend maintenance data of a certain tobacco corporation for three years were analyzed. The cigarette blend matrix was factorized into a base matrix and a matrix of single grade strips with NMF strategy to find out the rules of match between single grade strips suggested by the cigarette blend data,and further to recommend substituting schemes, then carried out the selection of single grade strip substitution and obtained the optimal single grade strip substituting scheme following a heuristic rule based on similarity. The results showed that: 1) NMF cigarette blend maintenance model could retrieve the single grade strips which had been removed from the cigarette blend, and maintain blend integrity. 2) NMF model could recommend the single grade strips that formed a good match with other tobacco portions in the maintained blend. 3) Both one-versus-one substitution and many-versus-many substitution based on average similarity could effectively maintain the consistencies of sensory quality and smoke indices of the original cigarette brand.关键词
卷烟/配方维护/非负矩阵分解/配方推荐/单等级片烟Key words
Cigarette/Blend maintenance/Non-negative matrix factorization/Blend recommendation/Single grade strip分类
轻工纺织引用本文复制引用
王楠,雒兴刚,张忠良,于洋,唐加福,汤建国..基于非负矩阵分解的卷烟配方维护方法[J].烟草科技,2019,52(8):67-76,10.基金项目
国家自然科学基金面上项目"基于QFD和数据挖掘的卷烟产品叶组配方优化关键技术研究"(61273204) （61273204）
国家自然科学基金青年项目"基于有序分类的食品感官质量智能化评估方法研究"(71801065) （71801065）
国家自然科学基金青年项目"有效实施Seru生产前提下多能工培训需求最少的优化决策"(71601089). （71601089）
