Абрамов, Сергій (orcid.org/0000-0003-0675-4850), Кравченко, Сергій (orcid.org/0000-0002-1923-5702), Синиціна, Юлія (orcid.org/0000-0002-6447-821X) and Титаренко, Олексій (orcid.org/0000-0002-3271-9402) (2025) Chapter І. Comparative analysis of artificial intelligence models . ФОП Ямчинський О.В., м. Київ, Україна, pp. 6-25. ISBN 978-617-8830-09-0
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Abstract
The current conditions of digital era's rapid development require an urgent need for a methodological approach to compare neural network models. This work analyzes the existing methods of neural network models comparative analysis, develops a generalized methodology and algorithm of comparative analysis, identifies key characteristics and features of artificial intelligence models, substantiates the criteria for assessing it's effectiveness. It was found that for a full-fledged comparative analysis of artificial intelligence models it is necessary to combine theoretical content analysis, SWOT analysis and experimental analysis (Benchmarking). This will allow to comprehensively evaluate AI models and to create recommendations for choosing optimal approaches for various areas of their application.
| Item Type: | Book |
|---|---|
| Additional Information: | Абрамов Сергій, Кравченко Сергій, Синиціна Юлія, Титаренко Олексій. Розділ І. Порівняльний аналіз моделей штучного інтелекту. Штучний інтелект у науці : монографія / [авт. колектив]; за ред. Яцишина Андрія та Яцишин Анни. – Київ: ФОП Ямчинський О.В., 2025. – С. 6-25. ISBN 978-617-8830-09-0 |
| Keywords: | artificial intelligence, SWOT analysis, case study, ChatGPT, Gemini |
| Subjects: | Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques |
| Divisions: | Institute for Digitalisation of Education > Generic resouse |
| Depositing User: | д.пед.н. Анна Яцишин |
| Date Deposited: | 22 Jan 2026 11:12 |
| Last Modified: | 02 Feb 2026 12:24 |
| URI: | https://lib.iitta.gov.ua/id/eprint/748209 |
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