Review of modern models and methods of analysis of time series of dynamics of processes in social, economic and socio-technical systems
The directions of perspective research in the field of analysis and modeling of the dynamics of time series of processes in complex systems with the presence of the human factor are described. The dynamics of processes in such systems is described by nonstationary time series. Predicting the evoluti...
Saved in:
| Main Authors: | E. G. Andrianova, S. A. Golovin, S. V. Zykov, S. A. Lesko, E. R. Chukalina |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
MIREA - Russian Technological University
2020-08-01
|
| Series: | Российский технологический журнал |
| Subjects: | |
| Online Access: | https://www.rtj-mirea.ru/jour/article/view/229 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Phase-Cum-Time Variant Fuzzy Time Series Model for Forecasting Non-Stationary Time Series and Its Application to the Stock Market
by: A. J. Saleena, et al.
Published: (2024-01-01) -
ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs
by: Jinglei Pei, et al.
Published: (2025-04-01) -
Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting
by: Moiz Qureshi, et al.
Published: (2024-11-01) -
Enhanced mixup for improved time series analysis
by: Khoa Tho Anh Nguyen, et al.
Published: (2025-05-01) -
An Ensemble for Automatic Time Series Forecasting With K-Nearest Neighbors
by: Maria P. Frias, et al.
Published: (2025-01-01)