Fuzzy logic and machine learning methods applied to the analysis of industrial power consumption under the condition of uncertainty
Автор: Serkov L.A.
Журнал: Вестник Пермского университета. Серия: Экономика @economics-psu
Рубрика: Математические, статистические и инструментальные методы в экономике
Статья в выпуске: 1 т.19, 2024 года.
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Introduction. Recently, the fuzzy logic method has been widely implemented in solving various problems of economic research, including theoretical analysis of the economy and its resource dependence, the study of innovative processes in a resource-type economy.
Fuzzy logic, neuro-fuzzy inference, power consumption, random forest method, machine learning, multiple regression
Короткий адрес: https://sciup.org/147246908
IDR: 147246908 | DOI: 10.17072/1994-9960-2024-1-52-68