Graph Condensation for Large Factor Models

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Аннотация

The paper proposes an original method for processing large factor models based on graph condensation using machine learning models and artificial neural networks. The proposed mathematical apparatus can be used in problems of planning and managing complex organizational and technical systems, in optimizing large socio-economic objects on the scale of state sectors, to solve problems of preserving the health of the nation (searching for compatibility when taking medications, optimizing resource provision for healthcare).

Авторлар туралы

B. Chetverushkin

Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)

Хат алмасуға жауапты Автор.
Email: office@keldysh.ru

Academician of the RAS

Ресей, Moscow

V. Sudakov

Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)

Email: sudakov@ws-dss.com
Ресей, Moscow

Yu. Titov

Moscow Aviation Institute (National Research University)

Email: kalengul@mail.ru
Ресей, Moscow

Әдебиет тізімі

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  9. Нестеров В.А., Судаков В.А., Сыпало К.И., Титов Ю.П. Матрица нечетких корреспонденций модели авиационных перевозок // Известия Российской академии наук. Теория и системы управления. 2022. Т. 6. № 6. С. 95–102.

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