中式烹饪中复合味型配方的数据挖掘试验  

Experiment on data mining in composite flavor type formula in Chinese cuisine

作　　者：周晓燕[1] 朱文政[1] 马文涛[2] 陈剑[1] 

机构地区：[1]扬州大学旅游烹饪学院,扬州225127 [2]上海交通大学机械与动力工程学院机器人研究所,上海200240

出　　处：《食品科技》2013年第4期107-111,共5页Food Science and Technology

基　　金：国家自然科学基金项目(60975056/F030511)

摘　　要：探索数据挖掘技术在中式烹饪复合味型配方调配规律中的方法,以收集中式烹饪中典型的复合味型配方为挖掘对象。运用数据预处理,进行配方名称和用量计量的规范,采用聚类分析,对配方进行不同菜系、呈味物质类型进行分类、使用频率集统计构成复合味型配方的核心调味料,及其关联对应规则。研究结果表明,挖掘得出的相关知识模式对于实现自动烹饪机器人自动调味工艺具有一定的理论意义和实践价值。This paper based on collecting Chinese cuisine in the typical compound flavor type formula for mining object, explores the method rule of the data mining technology compound flavor type formula deployment in the Chinese cuisine. Using the data preprocessing, recipe name and dosage of measurement standard, using the cluster analysis, the formula for different cuisines, the flavor types are classified. And using frequency set statistical constitute compound flavor type formula core seasonings, and its correlation corresponding rules. The results show that the obtained mining knowledge pattern for the realization of automatic cooking robot automatic seasoning process has certain theoretical significance and practical value.

关 键 词：中式烹饪 复合味型 数据挖掘 知识模式 

分 类 号：TS972.117[轻工技术与工程]