Application of geometrical algebra to neural computations

I. Rodonaia, V. Rodonaia
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Abstract

Geometrical algebra has been proved to be a powerful mathematical language for neural computations. An overview of some approaches in this area is given in the paper. Applications of the geometrical algebra methods to the geometrical transformations in computer graphics, robot vision and inverse kinematic problem are considered.
几何代数在神经计算中的应用
几何代数已被证明是神经计算的一种强大的数学语言。本文概述了这一领域的一些研究方法。讨论了几何代数方法在计算机图形学、机器人视觉和逆运动学问题中的几何变换中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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