separable sets

separable sets的基本解释

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可分集

与separable sets相关的网络例句 [注：此内容来源于网络，仅供参考]

Ln this paper, a new learning method is presented which is based on analyzing a set of linear separable structures. The most important benefit of this method is all binary neurons belong to one or more types of linear separable structure sets. If those linear separable structure sets have clear logical meaning, the whole knowledge of binary neural networks can be dug out.

该文提出了一种基于线性可分结构系结构分析的学习算法，采用这种方法对布尔空间的样本集合进行学习，得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系，只要这几类线性可分结构系的逻辑意义是清晰的，就可以分析整个学习结果的知识内涵。

In chapter 1, the achievement on multiple-valued logic at home andabroad is introduced briefly. In chapter 2, some decisions for theminimal covering of the regular separable sets in partialmultiple-valued logic is studied under the condition of σ=e andm=2 . We reach some conclusions that certain regular separable setsmustn't be the minimal covering of Pk under some conditions.

第一章，简要介绍了国内外在多值逻辑方面的研究成果；第二章，对部分多值逻辑中，当σ=e时，二元正则可离函数集最小覆盖之判定作了研究，并得出了当σ=e时，一些满足一定条件的二元正则可离函数集不是Pk 之最小覆盖成员的结论。

And an exact maximum likelihood registration algorithm is presented based on three-dimensional plane. This method contains two sets of partially separable variables (the actual target positions and the sensor registration errors) and provides a two-step recursive optimization algorithm to ensure fast convergence. Described by expressions:(5.26)?(5.39). It resolves the problems on Multiple-platform.

同时本文还推导出了三维立体投影的极大似然配准算法，算法包括两组部分可分的变量：实际目标位置和传感器的配准误差，利用两步递归优化算法对收敛速度进行了优化处理，实现过程可参阅式5.26～5.39，此算法解决了不同平台内多传感器配准过程中所存在的问题。

与separable sets相关的网络解释 [注：此内容来源于网络，仅供参考]

separable sets：可分集

separable polynomial 可分多项式 | separable sets 可分集 | separable space 可分空间