.png){kind=icon}
返回
Exploiting deterministic features in apparently stochastic data
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-022-23212-x.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Many processes in nature are the result of many coupled individual subsystems (like population dynamics or neurosystems). Not always such systems exhibit simple stable behaviors that in the past science has mostly focused on. Often, these systems are characterized by bursts of seemingly stochastic activity, interrupted by quieter periods. The hypothesis is that the presence of a strong deterministic ingredient is often obscured by the stochastic features. We test this by modeling classically stochastic considered real-world data from both, the stochastic as well as the deterministic approaches to find that the deterministic approach's results level with those from the stochastic side. Moreover, the deterministic approach is shown to reveal the full dynamical systems landscape, which can be exploited for steering the dynamics into a desired regime.
Keyword:
PROFITABILITY
PERSISTENCE
VOLATILITY
EXPONENTS
ENTROPY
SYSTEM
RISK
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
27.9W
被引数:
83.5W
机构
引用论文
Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards.png)
SensorsOAAI
SensorsIF0
OAAI分享收藏The role of electrostatic repulsion in the gelation of poly(vinyl alcohol)/borax aqueous solutionsSoft Matter
Soft MatterIF0
PREAI
分享收藏
Experimental Investigation of Terminal Shock/Boundary-Layer Interaction with and without Upstream Lateral ConfinementAIAA Journal
AIAA JournalIF0
PREAI
分享收藏
查看更多内容