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)
| Parent link: | Journal of Physics: Conference Series Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017).— 2017.— [012039, 6 p.] |
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| Ente Autore: | |
| Altri autori: | , , , , |
| Riassunto: | 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 |
| Lingua: | inglese |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | http://dx.doi.org/10.1088/1742-6596/881/1/012039 http://earchive.tpu.ru/handle/11683/43869 |
| Natura: | MixedMaterials Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656317 |