基于Kmeans改进FP算法稻米溯源体系优化设计  

Optimization design of rice traceability system based on Kmeans-FP growth algorithm

作　　者：陶佰睿[1] 赵金利 李雪 余艳 苗瑞 苗凤娟[1] TAO Bairui;ZHAO Jinli;LI Xue;YU Yan;MIAO Rui;MIAO Fengjuan(Communication and Electronic Engineering Institute,Qiqihar University,Qiqihar 161006)

机构地区：[1]齐齐哈尔大学通信与电子工程学院,齐齐哈尔161006

出　　处：《安徽农业大学学报》2019年第1期198-202,共5页Journal of Anhui Agricultural University

基　　金：黑龙江省教育厅基本业务专项(135106244);齐齐哈尔市科学技术计划(GYGG-201619;GYGG-201409);黑龙江省高等教育教学改革研究重点委托项目(SJGZ20180070);博士后研究人员落户黑龙江科研启动项目(LBH-Q15142);齐齐哈尔大学教育科学研究项目(2016090);黑龙江省高等教育教学改革研究项目(SJGY20170384);黑龙江省普通本科高等学校青年创新人才培养计划(UNPYSCT-2016087)共同资助

摘　　要：针对当前稻米溯源体系缺乏统一规范和溯源信息表达不够精准等问题,首先参考HACCP(hazard analysis critical control point,危害分析临界控制点)食品安全保障体系,设计稻米生长环境溯源指标体系表来实现稻米生长溯源指标标准化。然后运用Kmeans(k均值聚类)改进FP-Growth(frequent pattern-growth,频繁模式增长算法)挖掘稻米溯源参数与稻米口感评价之间潜在的关系,进而提高稻米溯源信息的精准表达。稻米溯源指标体系的优化为稻米溯源的标准化制定和溯源信息的精准表达奠定了研究基础。In view of the current lack of uniform standards for rice traceability systems and problems with the accuracy of traceability information,the reference was first made to the hazard analysis critical control point(hazard analysis critical control point)food safety assurance system to design rice traceability to designed rice traceability index system table to achieve the standardization of rice traceability indicators.Then,using the Kmeans(Kmeans clustering)to improve the FP-Growth(frequent pattern-growth)algorithm was used to mine the potential relationships between the rice source tracing parameters and rice quality assessments,thereby improving the accurate expression of rice traceability information.This optimized design improved the rice traceability system,which laid the foundation for the development of rice traceability standardization and the accurate expression of traceability information.

关 键 词：危害分析临界控制点安全体系 稻米溯源 K均值聚类 频繁模式增长 

分 类 号：S126[农业科学—农业基础科学]