Designing and predicting artificial neural networks using object-oriented programming

- Яцун, В.В. (orcid.org/0009-0009-4003-4014) and Гриб'юк, О.О. (orcid.org/0000-0003-3402-0520) (2023) Designing and predicting artificial neural networks using object-oriented programming In: Фундаментальні та прикладні математичні проблеми у наукових дослідженнях здобувачів ЗВО і молодих учених: творчий розвиток ідей: матеріали Всеукраїнської науково-практичної конференції здобувачів вищої освіти та молодих вчених . ХНАДУ, м. Харків, Україна, pp. 99-102.

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Abstract

The research work carried out a thorough analysis of the created artificial neural networks and corresponding ChatGPT applications, developed and improved the ChatGPT design and forecasting methodology. It is planned to develop an alternative ChatGPT software system using artificial intelligence technologies.

Item Type: Book Section
Keywords: ChatGPT, artificial intelligence, exploratory learning, variational models, computer modelling, neural models, object-oriented programming, AI, IVR, COMSRL.
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 > 004.4 Software
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 ІКТ ( Application-oriented computer-based techniques ) > 004.94 Simulation
Divisions: Institute for Digitalisation of Education > Department of Technologies of Open Learning Environment
Depositing User: Старший науковий співробітник О.О. Гриб'юк
Date Deposited: 04 Aug 2023 08:00
Last Modified: 04 Aug 2023 08:00
URI: https://lib.iitta.gov.ua/id/eprint/736324

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