Dmitrienko, V. D.Zakovorotnyi, A. Yu.Leonov, S. Yu.Khavina, I. P.2020-04-092020-04-092014Neural networks art: solving problems with multiple solutions and new teaching algorithm [Electronic resource] / V. D. Dmitrienko [et al.] // The Open Neurology Journal. – Electronic text data. – 2014. – Vol. 8. – P. 15-21. – Access mode: https://openneurologyjournal.com/contents/volumes/V8/TONEUJ-8-15/TONEUJ-8-15.pdf, вільний (дата звернення 09.04.2020 р.)https://repository.kpi.kharkov.ua/handle/KhPI-Press/45514A new discrete neural networks adaptive resonance theory (ART), which allows solving problems with multiple solutions, is developed. New algorithms neural networks teaching ART to prevent degradation and reproduction classes at training noisy input data is developed. Proposed learning algorithms discrete ART networks, allowing obtaining different classification methods of input.endegradation of breeding classeslearning algorithmsneural network adaptive resonance theoryproblems with multiple solutionsArticledoi.org/10.2174/1874205X01408010015