首页> 外文会议>International Conference on Industry, Information System and Material Engineering >Research on Medicine Industry and Manufacturing with North Schisandra Quality Assessment Based on Knowledge Reduction and Defuzzification Normal-Weibull Distribution
【24h】

Research on Medicine Industry and Manufacturing with North Schisandra Quality Assessment Based on Knowledge Reduction and Defuzzification Normal-Weibull Distribution

机译:基于知识减少和Defuzzzificed Normal-Weibull分布的医学工业与北施希德拉质量评估研究

获取原文

摘要

According to the traditional morphological classification, the North Schisandra quality of traditional Chinese medicine is divided into recommended products and non-recommended products; Discrete the chromatography data of the North Schisandra which obtained under the condition of standard test and also make the knowledge reduction. Obtaining the great peaks of linear independent vectors and obtaining every clustering centre data of North Schisandra by the fuzzy and Defuzzification methods. Make North Schisandra criterion and sample data as Normal-Weibull distribution to calculate similar. This research combines the plant morphology, chemistry, statistics and calculating technology to establish the pattern identification methods of quality and have good attempt to Chinese traditional machine quality methods. The research results provide the basis for medicine industry and manufacturing.
机译:根据传统的形态学分类,北鞘中药质量分为推荐产品和非推荐产品;在标准测试条件下,离散北舒斯德拉的色谱数据,并使知识减少。通过模糊和排出方法获得线性独立向量的大峰,并通过模糊和排出方法获得北舒斯德拉的每个集群中心数据。使North Schisandra标准和样本数据作为正常 - Weibull分布来计算相似。本研究结合了植物形态,化学,统计和计算技术,建立了品质鉴定方法,对中国传统机器质量方法进行了良好的尝试。研究结果为医学行业和制造业提供了基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号