1. Репозиторий Самарского национального исследовательского университета имени академика С.П. Королёва
  2. 04. Материалы конференций
  3. Тестовая коллекция
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dc.contributor.departmentДепартаментen_US
dc.date.accessioned2025-09-01T09:04:42Z-
dc.date.available2025-09-01T09:04:42Z-
dc.date.issued2022-04-01-
dc.identifierDspace\SGAU\20250901\75873ru
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/38692-
dc.descriptionописаниеen_US
dc.format.mimetypetexten_US
dc.textpart75 and was obtained with a coefficient multiplier equal to 1 and a coefficient decrement equal to 0.01. A neural network trained with these parameters will be used for further training. VI. NEURAL NETWORK TRAINING WITH A TEACHER The Kohonen network is self-learning, however, to improve the accuracy of classification, teacher training can also be used, in particular, the vector quantization algorithm (LVQ). The essence of this algorithm is to change the class parameters (mixing the ...-
dc.subjectаen_US
dc.subjectбen_US
dc.titleТестовая запись №3en_US
dc.typeOtheren_US
local.contributor.authorИванов-
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