1) Powder Micro-image Identification
显微鉴别分析
2) microscopic identification
显微鉴别
1.
Methods:Carried on macroscopic and microscopic identification to Rheum Palmatum of eight different Regions in Gansu Province,and carried on the determination with HPLC to its anthraquinone contents.
方法:对甘肃8个不同产区掌叶大黄进行性状、显微鉴别,并用高效液相对其5种蒽醌类成分含量进行测定。
2.
Methods:Property identification and microscopic identification were used.
结果:描述了黑水缬草的性状和显微鉴别特征。
3.
Methods: The microscopic identification and TLC were used.
方法 :利用显微鉴别和薄层色谱鉴别。
3) Microscopical Identification
显微鉴别
1.
Methods:The microscopical identification and quality identification were studied by TLC.
结果 :显微鉴别、薄层色谱鉴别可检出样品中相应的显微特征及薄层斑点。
2.
Methods Pearl Layer Powder was identified by microscopical identification and TLC.
方法对珍珠层粉采用显微鉴别及TLC鉴别,对含氮量采用氮测定法。
4) Micro-differential method
显微鉴别法
1.
Methods: Micro-differential method, plate chromatography and HPLC were applied with qualitation and quantitative assay according to "Chinese pharmacopeia".
方法:依照《中华人民共和国药典》2005版一部,采用显微鉴别法、薄层色谱法、高效液相色谱法对鼻炎康进行定性、定量测定。
5) discriminant analysis
鉴别分析
1.
There are many methods of termination decision,of which the discriminant analysis is much easier because of its using available existing project information as much as possible.
中止决策的方法很多,采用鉴别分析法进行R&D项目中止决策,能够充分利用已有项目有效信息进行判别,方法更为简便,在日常的R&D项目管理实践中,更易于操作及普遍使用,并得到较为满意的结果。
2.
The paper concerns the image discriminant analysis problem where image matrices are taken as samples.
考虑样本为图像矩阵的图像鉴别分析问题,将Foley-Sammon鉴别分析问题转化为一类带约束条件的两目标优化问题,给出了有效投影向量的概念。
3.
A new discriminant analysis method based on LWT(Lifting Wavelet Transform) and LVQ(Learning Vector Quantization) Network was proposed in this paper.
提出了一种基于提升小波变换(LWT)和学习矢量量化网络(LVQ)相结合的鉴别分析方法。
补充资料：显微
1.显着和隐微。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条