Artificial neural networks in the science and education context

Authors

  • Дмитрий Алексеевич Павлов Institute of Applied Astronomy of the Russian Academy of Sciences. Saint Petersburg, Russia

Abstract

The increasing popularity of artificial neural networks (ANNs) in education, science, and commerce may give the impression of a revolution that has taken place in computer modeling and optimization algorithms. This short review highlights the fundamental shortcomings of ANNs and the potential harm that can be caused by encouraging the study of ANNs to the detriment of strict mathematical methods.

Author Biography

  • Дмитрий Алексеевич Павлов, Institute of Applied Astronomy of the Russian Academy of Sciences. Saint Petersburg, Russia

    Dmitry A. Pavlov: Senior researcher at the Laboratory of Ehemeris Astronomy, Institute of Applied Astronomy RAS; 191187 Russia, St. Petersburg, Kutuzova Embankment 10, Institute of Applied Astronomy RAS, dpavlov@iaaras.ru

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Published

2017-12-30

Issue

Section

Computer science

How to Cite

[1]
Д. А. Павлов, “Artificial neural networks in the science and education context”, Computer Tools in Education, no. 6, pp. 25–31, Dec. 2017, Accessed: Jul. 24, 2026. Available: http://cte.eltech.ru/ojs/index.php/kio/article/view/1506

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