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pro vyhledávání: '"Valeria V. Voronina"'
Autor:
Anton A. Romanov, Aleksey A. Filippov, Valeria V. Voronina, Gleb Guskov, Nadezhda G. Yarushkina
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2947 (2021)
Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In
Externí odkaz:
https://doaj.org/article/594eb1d6144647ea8657cf637c2c2f68
Publikováno v:
Axioms, Vol 9, Iss 49, p 49 (2020)
Axioms; Volume 9; Issue 2; Pages: 49
Axioms; Volume 9; Issue 2; Pages: 49
The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the discovery o