Optimal Modelling and Estimation of a Class of Dynamic Signals in Big Data System Analysis
Xiamen University Tan Kah Kee College, Zhangzhou, Fujian, China
*Corresponding author. Email: firstname.lastname@example.org
Available Online 17 December 2021.
- 10.2991/assehr.k.211216.048How to use a DOI?
- Big data system analysis; ynamic signal; Mplex stochastic process; Telligent computing; timization modeling
Taking the time series analysis of complex stochastic processes as the main line, this paper makes an in-depth study on a kind of random dynamic information flow widely existing in science and technology, and obtains the nonlinear dynamic model and its optimal control and prediction method under the random century series. In order to further study earthquake prediction, meteorological and financial data analysis, incomplete observation of time series, and outlier processing provide an effective mathematical processing means and method.
- © 2021 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaonan Xiao PY - 2021 DA - 2021/12/17 TI - Optimal Modelling and Estimation of a Class of Dynamic Signals in Big Data System Analysis BT - Proceedings of the 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021) PB - Atlantis Press SP - 261 EP - 265 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211216.048 DO - 10.2991/assehr.k.211216.048 ID - Xiao2021 ER -