Formalization of the Object Classification Algorithm

Мартынюк, Т. Б.; Kozhemiako, A. V.; Куперштейн, Леонід

doi:10.1007/s10559-015-9767-0

Cited by 6 publications

(1 citation statement)

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“…Artificial intelligence technologies such as classification and cluster analysis show good results on multi-dimensional data [6][7][8][9]; they are successfully applied for extracting hidden patterns and internal correlations within a data set [6,[10][11][12].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Interval fuzzy modeling of complex systems under condіtіons of іnput data uncertaіnty

Кондратенко

Snihur

2016

EEJET

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expert knowledge about the subject area or inability to formalize them, as well as uncertainty caused by input feature space dimensionality (redundancy and noise) [1, 2]. All these factors are inherent in natural systems and processes in one way or another. As an example of modeling a system of this class, later in this paper we show how the condition of an artesian well can be evaluated at any given time from the beginning of hydrogeological exploration up to its full completion. This task is characterized by difficulties in accessing experimental data, since obtaining input data necessary for operation of any given model requires significant effort. It is therefore to be expected, that geological exploration which precedes putting an artesian well into operation lasts ranging from 6 months and up to several years [3].

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