Generation of classification schemes in the form of logical trees in discrete object recognition problems

I. Povkhan
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Abstract

This work is devoted to the problems of recognition of discrete objects. It continues a series of articles devoted to the study of recognition systems in the form of logical trees, optimization of synthesized systems of classification of discrete objects, studies of their maximum complexity and the possibility of building effective methods to minimize them. Here the scheme of construction of system of recognition of discrete objects on the basis of a logical tree is step by step considered, and in the center of research there is a graph-circuit model of system of recognition in the form of a logical tree. Note that the results of this robot are relevant for all pattern recognition problems, in which the resulting recognition scheme can be represented as a logical tree.
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离散目标识别问题中以逻辑树形式生成的分类方案
这项工作致力于离散物体的识别问题。它继续了一系列致力于以逻辑树的形式研究识别系统的文章,离散对象分类的综合系统的优化,其最大复杂性的研究以及建立有效方法最小化它们的可能性。本文逐步研究了基于逻辑树的离散对象识别系统的构建方案,并以逻辑树的形式建立了离散对象识别系统的图-电路模型。请注意,该机器人的结果与所有模式识别问题相关,其中产生的识别方案可以表示为逻辑树。
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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