Prediction of the properties anhydrite construction mixtures based on neural network approach
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Prediction of the properties anhydrite construction mixtures based on neural network approach
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| Автор |
Fedorchuk, Y. M.
Zamyatin, N. V. Smirnov, G. V. Rusina, Olga Nikolaevna Sadenova, M. A. |
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| Тематика |
прогнозирование
ангидритовые строительные растворы нейронные сети химическое производство захоронение отходы ангидриты |
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| Описание |
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.
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| Дата |
2017-11-08T09:07:38Z
2017-11-08T09:07:38Z 2017 |
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| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
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| Идентификатор |
Prediction of the properties anhydrite construction mixtures based on neural network approach / Y. M. Fedorchuk [et al.] // Journal of Physics: Conference Series. — 2017. — Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017) : International Conference, 27–30 June 2017, Novosibirsk, Russian Federation : [proceedings]. — [012039, 6 p.].
http://earchive.tpu.ru/handle/11683/43869 10.1088/1742-6596/881/1/012039 |
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| Язык |
en
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| Связанные ресурсы |
Journal of Physics: Conference Series. Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017). — Bristol, 2017.
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Издатель |
IOP Publishing
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