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Contextual Approach to Industrial Situation Recognition
The article describes the development of multifaceted and efficient approaches to the context information analysis for synthesis of industrial situations context recognition algorithm in automated management systems within the enterprises. The probability theory method and method of statistical anal...
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Published in: | TEM Journal 2020-08, Vol.9 (3), p.944-950 |
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creator | Shepel`, V.N Speshilova, N.V Tripkosh, V.A Rakhmatullin, R.R |
description | The article describes the development of multifaceted and efficient approaches to the context information analysis for synthesis of industrial situations context recognition algorithm in automated management systems within the enterprises. The probability theory method and method of statistical analysis, decision theory method, methods of algorithm and combination theory were used while researching. The research resulted in the development of new approaches to the context information analysis framework for pattern recognition which enables us to identify the procedure of contextual recognition for synthesis of working industrial situation recognition algorithm. A correspondence between the recognition error rate and the guaranteed recognition threshold, which can be used for setting up the automated context-based recognition systems, was analytically obtained during the research. |
doi_str_mv | 10.18421/TEM93-15 |
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subjects | Algorithms Automation Business Economy / Management Context Data analysis Decision analysis Decision theory Information management Management systems Pattern analysis Pattern recognition Probability Probability distribution Probability theory Statistical analysis Synthesis |
title | Contextual Approach to Industrial Situation Recognition |
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