affine coordinates

affine coordinates的基本解释

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仿射坐标

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

The method of setting up an affine coordinates system to solve the problems for the spatial crank and rocker mechanism is proposed.

分析并回顾了在给定摇杆两个极限位置及行程速度变化系数的情况下，最小传动角为最大的平面曲柄摇杆机构和空间曲柄摇杆机构的设计问题。

The geometric detail is represented as the set of the local affine coordinates of the base surface and extracted effectively and efficiently in user specified frequency band of geometric signal.

通过基曲面上的局部仿射坐标，则可以得到与之对应的多分辨率几何细节表示，曲面的低频信息和高频信息易被用户所指定的频段分离。

Based on the idea, this paper proposed an efficient algorithm to compute 3P+Q directly over F in terms of affine coordinates, its computational complexity was 1I+3S+16M, saving one field inversion compared to Ciet's method.

根据这种思想，提出了素域F上用仿射坐标直接计算3P+Q的算法，其运算量为1I+3S+16M，比Ciet等人提出的方法节省了一次求逆运算。

This gives a new description of human recognition mechanism from the view of information geometrical and algebraic topological treatment, the results include Propose a structure representation and system identification approach for neural networks, based on the concept of simplical complexes and dual affine coordinates in the dual flat manifold.

主要的结果包括：提出用对偶平坦流形上的单、复形结构和对偶平坦流形的对偶仿射坐标作为神经网络内在结构表示的一种方法，具有广泛的意义。

That is that information processing of neural networks is viewed as the composition of the two steps: field organization and field action, in which, field organization transformation converts input pattern into relevant structure representation, extracting the underlying architecture features and forms a architecture representation in action transformation space; The field action transformation converts the features representation into expected output. In strategies, we use the dual affine coordinates in dual flat manifold as way of representation of field organization system and field action system, which established a theoretical framework of analysis the coupling mechanism of information processing from the view of point of structure representation and model generation.

在具体人工神经网络结构描述的策略上，利用对偶流形空间上的对偶仿射坐标概念分别表示场组织变换系统和场反应变换系统，建立起从问题的结构表示和模型生成两种观点来分析信息处理的理论框架；分析了有监督和非监督学习人工神经网络模型在神经场变换机理下的形式化描述。

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

affine coordinates：仿射坐标

affine anisotropy 仿射各向异性 | affine coordinates 仿射坐标 | affine deformation 均匀变形

affine coordinates：平行坐标

affine connection 仿射联络 | affine coordinates 平行坐标 | affine curvature 仿射曲率

origin affine coordinates：原点仿射坐标

有向球面 oriented sphere | 原点 origin | 原点仿射坐标 origin affine coordinates