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Evolving Systems SCIE

国际简称:EVOL SYST-GER  参考译名:不断发展的系统

主要研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE  非预警期刊  审稿周期:

《不断发展的系统》(Evolving Systems)是一本由SPRINGER HEIDELBERG出版的以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊,近三年没有被列入预警名单。

  • 4区 中科院分区
  • Q3 JCR分区
  • 74 年发文量
  • 2.7 IF影响因子
  • 未开放 是否OA
  • 6 issues per year 出版周期
  • English 出版语言

Evolving Systems covers surveys, methodological, and application-oriented papers in the area of dynamically evolving systems. ‘Evolving systems’ are inspired by the idea of system model evolution in a dynamically changing and evolving environment. In contrast to the standard approach in machine learning, mathematical modelling and related disciplines where the model structure is assumed and fixed a priori and the problem is focused on parametric optimisation, evolving systems allow the model structure to gradually change/evolve. The aim of such continuous or life-long learning and domain adaptation is self-organization. It can adapt to new data patterns, is more suitable for streaming data, transfer learning and can recognise and learn from unknown and unpredictable data patterns. Such properties are critically important for autonomous, robotic systems that continue to learn and adapt after they are being designed (at run time).

Evolving Systems solicits publications that address the problems of all aspects of system modelling, clustering, classification, prediction and control in non-stationary, unpredictable environments and describe new methods and approaches for their design.

The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety — from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as

Evolving Systems methodology

Evolving Neural Networks and Neuro-fuzzy Systems

Evolving Classifiers and Clustering

Evolving Controllers and Predictive models

Evolving Explainable AI systems

Evolving Systems applications

but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services, finance and economics. The common features for all submitted methods and systems are the evolving nature of the systems and the environments.

The journal is encompassing contributions related to:

1) Methods of machine learning, AI, computational intelligence and mathematical modelling

2) Inspiration from Nature and Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics

3) Applications in engineering, business, social sciences.

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Evolving Systems期刊信息

  • ISSN:1868-6478
  • 出版语言:English
  • 是否OA:未开放
  • E-ISSN:1868-6486
  • 出版地区:GERMANY
  • 是否预警:
  • 出版商:SPRINGER HEIDELBERG
  • 出版周期:6 issues per year
  • 开源占比:0.0356
  • Gold OA文章占比:5.48%
  • OA被引用占比:0.0159...
  • 出版国人文章占比:0.02
  • 出版撤稿占比:0
  • 研究类文章占比:94.59%

Evolving Systems CiteScore评价数据(2024年最新版)

CiteScore SJR SNIP CiteScore 指数
7.8 0.746 1.022
学科类别 分区 排名 百分位
大类:Mathematics 小类:Control and Optimization Q1 10 / 130

92%

大类:Mathematics 小类:Modeling and Simulation Q1 25 / 324

92%

大类:Mathematics 小类:Control and Systems Engineering Q1 57 / 321

82%

大类:Mathematics 小类:Computer Science Applications Q1 167 / 817

79%

名词解释:CiteScore 是衡量期刊所发表文献的平均受引用次数,是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年(含计算年度)的被引次数除以该期刊近四年发表的文献数。例如,2022年的 CiteScore 计算方法为:2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注:文献类型包括:文章、评论、会议论文、书籍章节和数据论文。

Evolving Systems中科院评价数据

中科院 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4区

中科院 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4区

中科院 2021年12月旧的升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4区

中科院 2021年12月基础版

Top期刊 综述期刊 大类学科 小类学科
工程技术 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4区

中科院 2021年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4区

Evolving Systems JCR评价数据(2023-2024年最新版)

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 101 / 197

49%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 122 / 198

38.64%

Evolving Systems历年数据统计

影响因子
中科院分区

Evolving Systems中国学者发文选摘

Evolving Systems同类期刊

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