Prediction of the properties anhydrite construction mixtures based on neural network approach

Y. M. Fedorchuk, N. V. Zamyatin, G. V. Smirnov, O. N. Rusina, M. A. Sadenova

Результат исследований: Материалы для журналаСтатья

1 цитирование (Scopus)

Выдержка

The article considered the question of applying the backstop modeling mechanism from the components of anhydride mixtures in the process of managing the technological processes of receiving construction products which based on fluoranhydrite.

Язык оригиналаАнглийский
Номер статьи012039
ЖурналJournal of Physics: Conference Series
Том881
Номер выпуска1
DOI
СостояниеОпубликовано - 30 авг 2017
СобытиеInternational Conference on Innovations in Non-Destructive Testing, SibTest 2017 - Sosnovkav, Novosibirsk, Российская Федерация
Продолжительность: 27 июн 201730 июн 2017

Отпечаток

anhydrides
products
predictions

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Цитировать

Prediction of the properties anhydrite construction mixtures based on neural network approach. / Fedorchuk, Y. M.; Zamyatin, N. V.; Smirnov, G. V.; Rusina, O. N.; Sadenova, M. A.

В: Journal of Physics: Conference Series, Том 881, № 1, 012039, 30.08.2017.

Результат исследований: Материалы для журналаСтатья

Fedorchuk, Y. M. ; Zamyatin, N. V. ; Smirnov, G. V. ; Rusina, O. N. ; Sadenova, M. A. / Prediction of the properties anhydrite construction mixtures based on neural network approach. В: Journal of Physics: Conference Series. 2017 ; Том 881, № 1.
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