Prediction of the properties anhydrite construction mixtures based on neural network approach; Journal of Physics: Conference Series; Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017)

Prediction of the properties anhydrite construction mixtures based on neural network approach; Journal of Physics: Conference Series; Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017)

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017).— 2017.— [012039, 6 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ)
Other Authors: Fedorchuk Y. M., Zamyatin N. V., Smirnov G. V., Rusina O. N. Olga Nikolaevna, Sadenova M. A.
Summary:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2017
Subjects:
электронный ресурс
труды учёных ТПУ
прогнозирование
ангидритовые строительные растворы
нейронные сети
химическое производство
захоронение
отходы
ангидриты
Online Access:http://dx.doi.org/10.1088/1742-6596/881/1/012039
http://earchive.tpu.ru/handle/11683/43869
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656317

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