Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference Complex Equipment of Quality Control Laboratories 2018

Год издания: 2018

Идентификатор DOI: 10.1088/1742-6596/1128/1/012134

Ключевые слова: Flow measurement, Flowmeters, Genetic algorithms, Genetic programming, Problem solving, Research laboratories, Vortex flow, Adaptive transformations, Automated design, Automatic selection, Evolutionary method, Measurement accuracy, Symbolic regression pro

Аннотация: The approach to improving the accuracy of flow measurement using vortex flowmeters is discussed. One of the ways of flow measurement accuracy improvement is finding the suitable flowmeter transformation function. Such task is difficult to formalize and is

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1128, Is. 1

Номера страниц: 12134

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Platonov D. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation; Kutateladze Institute of Thermophysics, SB RAS, 1 Lavrentyev Ave., Novosibirsk, 630090, Russian Federation)
• Minakov A. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation; Kutateladze Institute of Thermophysics, SB RAS, 1 Lavrentyev Ave., Novosibirsk, 630090, Russian Federation)
• Dekterev A. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation; Kutateladze Institute of Thermophysics, SB RAS, 1 Lavrentyev Ave., Novosibirsk, 630090, Russian Federation)
• Dekterev D. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation; Kutateladze Institute of Thermophysics, SB RAS, 1 Lavrentyev Ave., Novosibirsk, 630090, Russian Federation)
• Zhigarev V. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation)
• Goryunov Y. (Siberian Federal University, 79 Svobodny Ave., Krasnoyarsk, 660041, Russian Federation)

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