Graph Condensation for Large Factor Models

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详细

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).

作者简介

B. Chetverushkin

Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)

编辑信件的主要联系方式.
Email: office@keldysh.ru

Academician of the RAS

俄罗斯联邦, Moscow

V. Sudakov

Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)

Email: sudakov@ws-dss.com
俄罗斯联邦, Moscow

Yu. Titov

Moscow Aviation Institute (National Research University)

Email: kalengul@mail.ru
俄罗斯联邦, Moscow

参考

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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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