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支持向量机模式识别方法及其在农产品品质快速无损检测中的应用 被引量：3

Research in Support Vector Machine And Its Application in Quickly Nondestructive Inspection of Agricultural Product
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摘要 支持向量机 (SupportVectorMachines)是一类基于统计学习理论的机器学习算法 ,是刚发展起来的新模式识别与分类技术。作者阐述了支持向量机的基本原理 。 Support Vector Machines is a new machine learning method and pattern recognition technology basing on statistical learning theory. The principle and model of support vector machines were introduced in this paper. The application of support vector machines in quickly nondestructive inspection of agricultural product quality was discussed.
作者 刘木华 江水泉 赵杰文
机构地区 江苏大学生物与环境工程学院 国家粮食储备局无锡科学研究设计院
出处 《粮食与食品工业》 2003年第2期49-51,共3页 Cereal & Food Industry
关键词 支持向量机 模式识别方法 农产品品质 无损检测 原理 应用 Support Vector Machinesnondestructive inspectionquality of agricultural product
分类号 S375 [农业科学—农产品加工] F762 [经济管理—产业经济]
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共引文献241

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二级引证文献49

粮食与食品工业
2003年 第2期

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