样本特征 meaning in Chinese

sample characteristics

A feature template set is constructed for every target class , and every feature template is identified by its aspect
对于每一类目标，建立它的样本特征模板集合，每一个样本特征都用方位角来标记。
By projecting feature vector to every class subspace , the character can be determined to one class in accordance with the projecting length . this is the difference between subspace method and other statistic methods
在分类决策时，将样本特征矢量向各类别子空间投影，由投影长度判别样本归属，这也是子空间方法与其它统计模式识别方法的不同之处。
In this paper an artificial neural network ( ann ) approach , which is based on flexible nonlinear models for a very broad class of transfer functions , is applied for multi - spectral data analysis and modeling of airborne laser fiuorosensor in order to differentiate between classes of oil on water surface
由于ann方法适合于处理非线性系统，具有自组织、自学习、自适应和联想能力，故通过对样本反复训练，能辨别各类样本特征差异，本论文的核心工作就是将人工神经网络( ann )的方法应用于激光遥感光谱数据的智能分析。