Please use this identifier to cite or link to this item:
http://earchive.tpu.ru/handle/11683/43869| Title: | Prediction of the properties anhydrite construction mixtures based on neural network approach |
| Authors: | Fedorchuk, Y. M. Zamyatin, N. V. Smirnov, G. V. Rusina, Olga Nikolaevna Sadenova, M. A. |
| Keywords: | прогнозирование; ангидритовые строительные растворы; нейронные сети; химическое производство; захоронение; отходы; ангидриты |
| Issue Date: | 2017 |
| Publisher: | IOP Publishing |
| Citation: | 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.]. |
| 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. |
| URI: | http://earchive.tpu.ru/handle/11683/43869 |
| Appears in Collections: | Материалы конференций |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| dx.doi.org-10.1088-1742-6596-881-1-012039.pdf | 469,49 kB | Adobe PDF | View/Open |
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