НЕЙРОМЕРЕЖ ЕВА ТЕХНОЛОГІЯ ВИЯВЛЕННЯ ПОМИЛОК У ТЕКСТОВИХ ДОКУМЕНТАХ

Serhii Udovenko; Volodymyr Zatkhey; Oleg Teslenko; Serhii Udovenko; Volodymyr Zatkhey; Oleg Teslenko

doi:10.30888/2663-5712.2025-34-01-115

NEURAL NETWORK TECHNOLOGY FOR DETECTING ERRORS IN TEXT DOCUMENTS

Authors

Serhii Udovenko Simon Kuznets Kharkiv National University of Economics https://orcid.org/0000-0001-5945-8647
Volodymyr Zatkhey Simon Kuznets Kharkiv National University of Economics https://orcid.org/0000-0003-4426-7789
Oleg Teslenko Simon Kuznets Kharkiv National University of Economics https://orcid.org/0000-0003-3105-9323

DOI:

https://doi.org/10.30888/2663-5712.2025-34-01-115

Keywords:

electronic text analysis, error detection in text documents, neural network modeling, principal component method, autoassociative three-layer perceptron.

Abstract

The goal of this work is to develop a modified technology for error detection in text documents using a multilayer perceptron neural network. The proposed technology is implemented using an autoassociative neural network trained on a corpus of parallel te

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Published

2025-11-30

How to Cite

Удовенко, С., Затхей, В., & Тесленко, О. (2025). NEURAL NETWORK TECHNOLOGY FOR DETECTING ERRORS IN TEXT DOCUMENTS. SWorldJournal, 1(34-01), 210–221. https://doi.org/10.30888/2663-5712.2025-34-01-115