现代电子技术2016，Vol.39Issue(12)：18-21,4.DOI:10.16652/j.issn.1004-373x.2016.12.005
基于人工神经网络与VPMCD的葡萄干等级检测方法研究
Research on raisin grade detection method based on artificial neural network and VPMCD
摘要
Abstract
To precisely identify the raisin grades,a new raisin grade detection method based on artificial neural network and VPMCD is proposed. The Xinjiang Green seedless raisins of three grades are taken as the research object to extract the char⁃acteristic parameters of color and size. The BP neural network algorithm is used to compare the influence of each feature combi⁃nation on identification rate. The four characteristic parameter combinations with high identification rate were determined. The VPMCD method is adopted to train the sample and detect the raisin grade. The identification result of the proposed method was compared with those of SVM method and BP neural network method. The comparison results show that the identification rate of VPMCD algorithm can reach up to 100%,and has superior classification effect,less operation time and high identification preci⁃sion. It provides a new approach for grade detection of agricultural products.关键词
葡萄干/等级检测/BP神经网络/VPMCDKey words
raisin/grade detection/BP neural network/VPMCD分类
信息技术与安全科学引用本文复制引用
刘小英,张健,杨蜀秦..基于人工神经网络与VPMCD的葡萄干等级检测方法研究[J].现代电子技术,2016,39(12):18-21,4.基金项目
国家自然科学基金资助项目 （）
