科学隐喻的符号学多维数据认知图像

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI:10.1109/SCM.2017.7970684

V. Gorokhov, V. Vitkovsky, D. V. Kholodnyak

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引用次数: 0

摘要

提出了基于观测、天体物理、医疗机构监测等多维数据，通过监测对象参数的点多维空间解译，形成科学隐喻的方法和算法。通过认知机器图形，这些算法在用户的意识中形成作为科学图形隐喻的认知图像。在多维tb块的情况下，效率会提高。

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Semiotics of scientific metaphors of cognitive images of multidimensional data

Methods and algorithms of formation of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of parameters of objects of monitoring are offered. By cognitive machine graphics these algorithms form cognitive images as scientific graphic metaphors in consciousness of the user. Efficiency increases in a case of multidimensional terabyte massifs.

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2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)

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