.png){kind=icon}
返回
Persistence in complex systems
.png){kind=icon}
OA
AI
DOI：10.1016/j.physrep.2022.02.002.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work. (C)& nbsp;2022 The Author(s). Published by Elsevier B.V.& nbsp;
Keyword:
Persistence
Complex systems
Systems' states
Long-term and short-term methods
Atmosphere and climate
Renewable energy
Economy
Complex networks
Optimization and planning
Machine learning
Neural networks
Neuroscience
Memory
Adaptation
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
P
IF:
29.5
论文数:
3.0K
被引数:
4.2W
机构
引用论文
分享收藏Overexpression of Arabidopsis thaliana Na+/H+ antiporter gene enhanced salt resistance in transgenic poplar (Populus × euramericana ‘Neva’).png)
Trees
TreesIF0
PREAI
分享收藏
查看更多内容