Identification of Technological Objects on the Basis of Intellectual Data Analysis

Korobiichuk, Igor; Smityuh, Yaroslav; Kishenko, Vasil; Anatoliy, Ladanyuk; Shevchuk, Dmitriy; Ivashchuk, Viacheslav; Boyko, Regina; Elperin, Igor

doi:10.1007/978-3-030-29993-4_60

Identification of Technological Objects on the Basis of Intellectual Data Analysis

Igor Korobiichuk , Yaroslav Smityuh , Vasil Kishenko , Ladanyuk Anatoliy , Dmitriy Shevchuk , Viacheslav Ivashchuk , Regina Boyko , Igor Elperin

Abstract

Considered questions of an authentications of such difficult object as installation of bragger rectification. The considered approach allows automating the process of obtaining a neuro-fuzzy model, and revealing the main dependencies between input and output variables. The approaches considered in the article can be used for development of simulation models of heat-mass exchange processes. Resulting models can be used in control systems, which are formed on the basis of optimal, robust and scenario methods.

Author	Igor Korobiichuk (FM / IACR) Igor Korobiichuk,, - The Institute of Automatic Control and Robotics , Yaroslav Smityuh - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine] Yaroslav Smityuh,, - - , Vasil Kishenko - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine] Vasil Kishenko,, - - , Ladanyuk Anatoliy - National University of Food Technologies Kiev Ukraine Ladanyuk Anatoliy,, - , Dmitriy Shevchuk - National Aviation University Kyiv Ukraine [National Aviation University] Dmitriy Shevchuk,, - - , Viacheslav Ivashchuk - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine] Viacheslav Ivashchuk,, - - , Regina Boyko - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine] Regina Boyko,, - - , Igor Elperin - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine] Igor Elperin,, - -
Pages	487-495
Publication size in sheets	0.5
Book	Szewczyk Roman, Krejsa Jiří, Nowicki Michał, Ostaszewska-Liżewska Anna (eds.): Mechatronics 2019: Recent Advances Towards Industry 4.0, Advances in Intelligent Systems and Computing, vol. 1044, 2020, Springer, ISBN 978-3-030-29992-7, [978-3-030-29993-4], 515 p., DOI:10.1007/978-3-030-29993-4
Keywords in English	neuro-fuzzy network, parameters of functions of belonging, algorithm studies
DOI	DOI:10.1007/978-3-030-29993-4_60
URL	https://link.springer.com/chapter/10.1007/978-3-030-29993-4_60
Language	en angielski
Score (nominal)	20
Score source	publisherList
Score	Ministerial score = 20.0, 10-01-2020, MonographChapterAuthor
Publication indicators	Scopus Citations = 0
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