由图运算产生的自动机

J. Julie, J. B. Babujee
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引用次数: 1

摘要

图上的笛卡尔积、正规积和字典积等二元运算在图的构造中起着至关重要的作用。自动机作为有向图的洞察力促使我们在这些抽象机器上研究这些产品。在本文中,我们对自动机上的正常乘积和词典乘积进行运算,并分析这些结果所产生的自动机所识别的语言。结果表明,所得自动机语言的广义Parikh向量是二维平面上的平行线族。路径自动机的词典积在使用反应自动机进行少量修改后,呈现为一个神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automata resulting from graph operations
The binary operations like Cartesian products, normal and lexicographic products on graphs have played a vital role in graph construction. An insight of automata as directed graphs motivated us to study some of these products on these abstract machines. In this paper we operate normal and lexicographic products over automata and analyze the language recognized by these resultant automata. It is observed that the Generalized Parikh vectors of the language of the resultant automata are a family of parallel lines in the two dimensional plane. The lexicographic product of path automata appears as a neural network after a few modifications using reactive automata.
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