影响因子:
2.7
ISSN:
print: 1868-6478
on-line: 1868-6486
研究领域:
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
自引率:
6.20%
Gold OA文章占比:
5.48%
原创研究文献占比:
93.24%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
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.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
7.80.7461.022
学科
排名
百分位
大类:Mathematics
小类:Control and Optimization
10 / 130
92%
大类:Mathematics
小类:Modeling and Simulation
25 / 324
92%
大类:Engineering
小类:Control and Systems Engineering
57 / 321
82%
大类:Computer Science
小类:Computer Science Applications
167 / 817
79%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
4区 计算机科学
4区 计算机:人工智能 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
WOS期刊分区
学科分类
Q3COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
历年影响因子
2021年2.3470
2022年3.2000
2023年2.7000
历年发表
2012年26
2013年33
2014年21
2015年18
2016年28
2017年44
2018年47
2019年61
2020年36
2021年46
2022年67
投稿信息
出版周期:
6 issues per year
出版语言:
English
出版国家(地区):
GERMANY
初审时长:
8 days
出版商:
SPRINGER HEIDELBERG
编辑部地址:
TIERGARTENSTRASSE 17, HEIDELBERG, GERMANY, D-69121

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