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Artificial intelligence, neural networks, big data, and mathematical research methods

https://doi.org/10.26896/1028-6861-2023-89-7-5-7

About the Author

A. I. Orlov
Bauman Moscow State Technical University
Russian Federation

Alexander I. Orlov

5, 2-ya Baumanskaya ul., Moscow, 105005

 



References

1. Games of terms and traps of Thucydides (editor’s note) / Ontol. Proekt. 2022. N 3(45). P. 273 – 277. https://cyberleninka.ru/article/n/igry-terminov-i-lovushki-fukidida (accessed 09.02.2023) [in Russian].

2. Novikov D. A. A very disturbing structure of knowledge and competencies is emerging around artificial intelligence. https://new.ras.ru/mir-nauky/news/vokrug-iskusstvennogo-intellekta- skladyvaetsya-ochen-trevozhnaya-struktura-znaniy-i-kompetentsiy-aka/?ysclid=ldx9tajju6720668306 (accessed 09.02.2023) [in Russian].

3. Nalimov V. V., Mul’chenko Z. M. Scientometrics. Studying the development of science as an information process. — Moscow: Nauka, 1969. — 192 p. [in Russian].

4. Orlov A. I. Change of terminology in the development of science / Nauch. Zh. KubGAU. 2022. N 177. P. 232 – 246 [in Russian].

5. Decree of the President of the Russian Federation from 10 October 2019 N 490 «On the development of artificial intelligence in the Russian Federation» [in Russian].

6. Orlov A. I. About modern intellectual tools of economics and management / Ékon. Nauka Sovr. Rossii. 2022. N 4(99). P. 30 – 38 [in Russian].

7. Orlov A. I. Artificial intelligence: non-numeric statistics. — Moscow: Ai Pi Ar Media, 2022. — 446 p. [in Russian].

8. Loiko V. I., Lutsenko E. V., Orlov A. I. Modern approaches in scientometrics. — Krasnodar: KubGAU, 2017. — 532 p. [in Russian].


Review

For citations:


Orlov A.I. Artificial intelligence, neural networks, big data, and mathematical research methods. Industrial laboratory. Diagnostics of materials. 2023;89(7):5-7. (In Russ.) https://doi.org/10.26896/1028-6861-2023-89-7-5-7

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ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)