Cognitive information processing based on a parallel processor

N. L. Verenik, A. I. Girel, Y. Seitkulov, M. Tatur, H. P. Razhkova
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引用次数: 1

Abstract

In this paper we consider the cognitive process as a set of different tasks. In particular tasks of clustering, classification and search of association. Described the parameters of similarity of these tasks, hypothesized the possibility of creating a unified methodology for cognitive systems. Shown the possible original architecture of the system, its description, command and data formats, the principles of operation. Describes the implementation of a system model for the GPU.
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基于并行处理器的认知信息处理
在本文中,我们认为认知过程是一组不同的任务。特别是聚类、分类和关联搜索的任务。描述了这些任务的相似性参数,假设了为认知系统创建统一方法的可能性。给出了系统可能的原始架构、描述、命令和数据格式、工作原理。描述GPU系统模型的实现。
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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