About situation recognition on basis of artificial intelligence technology

Попович,; Прокаев,; Сорокин,; Smirnova,

doi:10.15622/sp.7.9

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2020

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(2 citation statements)

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“…. (6) The second stage of the algorithm suggests the approach which considers the contextual information only when separate objects r j in the group are recognized (guaranteed) unambiguously. The number of such objects ranges from 1 to k, and k ≤ l.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Contextual Approach to Industrial Situation Recognition

Shepel¹,

Speshilova²,

Tripkosh³

et al. 2020

TEM Journal

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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.

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Section: Resultsmentioning

confidence: 99%

“…Alongside with neural network recognition methods [6] and Bayesian composite methods [3] we recommend a new approach based on the analysis of the contextual information about the recognized objects and processes.…”

Section: Introductionmentioning

confidence: 99%