РОЗПІЗНАВАННЯ ТЕКСТОВОЇ ТА ВІЗУАЛЬНОЇ ІНФОРМАЦІЇ ЗА ДОПОМОГОЮ ГІБРИДНОЇ МОДЕЛІ SVD І CNN

Ivan Peleshchak

doi:10.30890/2567-5273.2025-39-02-049

Authors

Ivan Peleshchak Lviv Polytechnic National University https://orcid.org/0000-0002-7481-8628

DOI:

https://doi.org/10.30890/2567-5273.2025-39-02-049

Keywords:

information recognition, convolutional neural network, singular value decomposition, hybrid model, multi-format data.

Abstract

The article explores the recognition of textual and visual information using a hybrid model that combines Singular Value Decomposition (SVD) with a Convolutional Neural Network (CNN). The first experiment was conducted on the MNIST dataset, where the base

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