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

Division for General Technical Subjects

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Abstract

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.

Original language	English
Article number	012039
Journal	Journal of Physics: Conference Series
Volume	881
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/881/1/012039
Publication status	Published - 30 Aug 2017
Event	International Conference on Innovations in Non-Destructive Testing, SibTest 2017 - Sosnovkav, Novosibirsk, Russian Federation Duration: 27 Jun 2017 → 30 Jun 2017

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ASJC Scopus subject areas

Physics and Astronomy(all)

Cite this

Fedorchuk, Y. M., Zamyatin, N. V., Smirnov, G. V., Rusina, O. N., & Sadenova, M. A. (2017). Prediction of the properties anhydrite construction mixtures based on neural network approach. Journal of Physics: Conference Series, 881(1), [012039]. https://doi.org/10.1088/1742-6596/881/1/012039

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AU - Sadenova, M. A.

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Access to Document

10.1088/1742-6596/881/1/012039