Email this article Identification of analog measuring instruments readings using neural networks
- Authors: Chuprinova O.1
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Affiliations:
- Санкт-Петербургский государственный университет аэрокосмического приборостроения
- Issue: No 6 (237) (2024)
- Pages: 98-100
- Section: Artificial Intelligence
- URL: https://journals.eco-vector.com/1992-4178/article/view/636246
- DOI: https://doi.org/10.22184/1992-4178.2024.237.6.98.100
- ID: 636246
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Abstract
The article discusses the construction of a neural network architecture for taking readings from analog instruments. The main blocks and elements used, such as convolutional networks ResNet and Path Aggregation Network, are described. The accuracy of the resulting model was assessed on a test sample using two Loss functions.
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About the authors
O. Chuprinova
Санкт-Петербургский государственный университет аэрокосмического приборостроения
Author for correspondence.
Email: chuprinova_o@mail.ru
кафедра метрологического обеспечения инновационных технологий и промышленной безопасности, аспирант
Russian FederationReferences
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