基于支持向量机的小麦新鲜度判别研究  

DISCRIMINATION OF WHEAT FRESHNESS BASED ON THE SVM

作　　者：王华芳[1] 展海军[2] 

机构地区：[1]三门峡职业技术学院生化工程系,河南三门峡472000 [2]河南工业大学化学化工学院,河南郑州450001

出　　处：《河南工业大学学报（自然科学版）》2014年第4期55-58,共4页Journal of Henan University of Technology：Natural Science Edition

摘　　要：小麦新鲜度直接决定小麦品质及后期面制品加工,采用盐酸联苯胺法和国标法测出新陈小麦各项指标,利用支持向量机筛选、预测小麦新鲜度,根据其判别正确率来探索判别方法的可行性.The wheat freshness decides the wheat quality and the post-stage processing of flour products,so that it is important to research the wheat discrimination technology. All indexes of fresh and stale wheat were measured through experiments,and the wheat freshness was predicted by support vector machine（SVM）. The feasibility of the method was determined according to the prediction accuracy.

关 键 词：小麦 新鲜度 支持向量机 

分 类 号：TS210.1[轻工技术与工程—粮食、油脂及植物蛋白工程]