Разработка конфигуратора нейро-нечёткой сети для прогнозирования коэффициента загрузки оборудования
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XIX Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 26-29 апреля 2022 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2022 Т. 3 : Математика.— 2022.— [С. 99-101] |
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| Özet: | Заглавие с экрана In this article, the creation of network configurator based on adaptive neuro-fuzzy inference system (ANFIS) has been descripted. The proposed network used to predict the load factor of production equipment based on data from sensors (SCADA), operational reports and simulation model. The load factor of production equipment has been predicted with error less than 5%. |
| Dil: | Rusça |
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2022
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| Online Erişim: | http://earchive.tpu.ru/handle/11683/72974 |
| Materyal Türü: | Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=634718 |
| Özet: | Заглавие с экрана In this article, the creation of network configurator based on adaptive neuro-fuzzy inference system (ANFIS) has been descripted. The proposed network used to predict the load factor of production equipment based on data from sensors (SCADA), operational reports and simulation model. The load factor of production equipment has been predicted with error less than 5%. |
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