构造油藏计算分岔图

IF 3.1 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-08-25 DOI:10.1016/j.physa.2025.130914

Xiaolu Chen , Tongfeng Weng , Zhuoming Ren , Huijie Yang

{"title":"构造油藏计算分岔图","authors":"Xiaolu Chen , Tongfeng Weng , Zhuoming Ren , Huijie Yang","doi":"10.1016/j.physa.2025.130914","DOIUrl":null,"url":null,"abstract":"<div><div>We introduce a data-driven synchronization approach to construct the dynamical transition of reservoir computing. Specifically, we design a scheme composed of three identically coupled reservoir computers and each of them has learned the underlying chaotic information of a considered system. After realizing synchronization among these reservoir computers, we find that the bifurcation diagram of reservoir computing can be fully constructed by varying the leaking rate. Numerical results on several chaotic systems have further confirmed the effectiveness of our method. Our findings provide a new perspective on studying the internal dynamics of reservoir computing, paving the way for further practical applications.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"677 ","pages":"Article 130914"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing bifurcation diagram of reservoir computing\",\"authors\":\"Xiaolu Chen , Tongfeng Weng , Zhuoming Ren , Huijie Yang\",\"doi\":\"10.1016/j.physa.2025.130914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We introduce a data-driven synchronization approach to construct the dynamical transition of reservoir computing. Specifically, we design a scheme composed of three identically coupled reservoir computers and each of them has learned the underlying chaotic information of a considered system. After realizing synchronization among these reservoir computers, we find that the bifurcation diagram of reservoir computing can be fully constructed by varying the leaking rate. Numerical results on several chaotic systems have further confirmed the effectiveness of our method. Our findings provide a new perspective on studying the internal dynamics of reservoir computing, paving the way for further practical applications.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"677 \",\"pages\":\"Article 130914\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica A: Statistical Mechanics and its Applications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378437125005667\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125005667","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种数据驱动的同步方法来构建油藏计算的动态过渡。具体来说，我们设计了一个由三台相同耦合的水库计算机组成的方案，每台计算机都学习了所考虑系统的底层混沌信息。在实现了这些油藏计算机之间的同步后，我们发现通过改变泄漏率可以完全构造油藏计算的分岔图。几个混沌系统的数值结果进一步证实了该方法的有效性。我们的发现为研究储层计算的内部动力学提供了一个新的视角，为进一步的实际应用铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Constructing bifurcation diagram of reservoir computing

We introduce a data-driven synchronization approach to construct the dynamical transition of reservoir computing. Specifically, we design a scheme composed of three identically coupled reservoir computers and each of them has learned the underlying chaotic information of a considered system. After realizing synchronization among these reservoir computers, we find that the bifurcation diagram of reservoir computing can be fully constructed by varying the leaking rate. Numerical results on several chaotic systems have further confirmed the effectiveness of our method. Our findings provide a new perspective on studying the internal dynamics of reservoir computing, paving the way for further practical applications.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Physica A: Statistical Mechanics and its Applications 物理-物理：综合

CiteScore

7.20

自引率

9.10%

发文量

852

审稿时长

6.6 months

期刊介绍： Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.