- PII
- 10.31857/S2686954324030119-1
- DOI
- 10.31857/S2686954324030119
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 517 / Issue number 1
- Pages
- 66-73
- Abstract
- 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).
- Keywords
- факторная модель конденсация графа кластеризация собственный вектор собственные значения
- Date of publication
- 15.06.2024
- Year of publication
- 2024
- Number of purchasers
- 0
- Views
- 46
References
- 1. Четверушкин Б.Н., Судаков В.А. Факторная модель для исследования сложных процессов // Доклады Академии наук. 2019. Т. 489. № 1. С. 17–21.
- 2. Forrester J.W. Policies, decisions and information sources for modeling // European Journal of Operational Research. 1992. V. 59. № 1. P. 42–63.
- 3. Honti G., Dörgő G., Abonyi J. Network analysis dataset of system dynamics models // Data in Brief. 2019. V. 27. P. 104723.
- 4. Jain A., Murty M., Flynn P. Data Clustering: A Review // ACM Computing Surveys. 1999. V. 31. № 3.
- 5. Lance G.N., Williams W.T. A general theory of classification sorting strategies in hierarchical system // Comp. J. 1967. № 9. P. 373–380.
- 6. Kohonen T. Essentials of the self-organizing map // Neural Networks. 2013. V. 37. P. 52–65.
- 7. Alam A., Ahamad M.K. K-Means Hybridization with Enhanced Firefly Algorithm for High-Dimension Automatic Clustering // Journal of Advanced Research in Applied Sciences and Engineering Technology. 2023. V. 33. № 3. P. 137–153.
- 8. Reynolds D. Gaussian Mixture Models // Encyclopedia of Biometrics. Boston, MA: Springer, 2009.
- 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.