分类原理 meaning in Chinese
principle of classification
Examples
- The principles of specialization and inheritance resemble the principle of variation in species proposed by charles darwin
这种专门化和继承的原理与charles darwin提出的不同物种分类原理很相似。 - 4 ) an algorithm for reliability upper bound assessment of large - size network is presented , which is based on the principle of topological classification of node - set ; and the lower bound can be also obtained by dual graph of oriented network .
应用图论的点集拓扑分类原理，提出一个计算大型复杂网络可靠度上界的类分法，并应用对偶理论求解网络可靠度的下界。 - In evidence theory , it is an important that how to obtain basic probability assignment ( bpa ) function . according to the classification theory of remote sensing image , bpa function and the rule of fusion classification are determined respectively
根据遥感图像分类原理以及证据理论的特点，分别确定了bdset方法和fdset方法的基本概率分配函数及融合分类规则。 - Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods , which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images . in the second part the principle of classification and bp neural network were introduced . combined with textural features , the improved bp neural network successfully performed on the classification of the satellite images
论文的第一部分介绍了进行纹理特征研究的一些典型的方法，利用其中的基于统计的纹理分析法中的灰度共生矩阵以及灰度一梯度共生矩阵法，分析了卫星云图上五类区域的纹理特性；第二部分主要介绍了遥感图像分类原理以及神经网络中的bp算法，在对算法原理进行深入理解的基础上，把纹理特征与神经网络进行组合，实现对卫星云图进行分类分析；第三部分内容是在前面图像分类结果的基础上，对序列图像用相关匹配法进行运动分析，反演云迹风风场。 - These coherent processors can fulfill arbitrary complex parameters . chapter 4 puts forward two deinterleaving methods based on probabilistic neural network ( pnn ) . the self - organization pnn deinterleaver is suitable for unknown emitters , while the rbpnn deinterleaver is suitable for known emitters
神经网络用于脉冲列去交错是国内外一直关注的解决方案，论文第四章讨论了基于概率的分类原理，提出了两种概率神经网络脉冲去交错器结构，分别适用于未知辐射源及具有先验信息辐射源两种情况。