2nd International Workshop on Evolving Fuzzy Systems EFS'06, Ambelside, Lake District, 7-9 September 2006

第二届演化模糊系统国际研讨会 EFS06，湖区安贝尔塞德，2006 年 9 月 7-9 日

• 批准号: EP/D077680/1
• 负责人: Plamen Angelov
• 金额: $ 1.63万
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD077680%2F1
• 关键词: 2nd; International; Workshop; Evolving; Fuzzy

The main challenge today is to design the next generation of intelligent systems that are able to have a higher level of flexibility and autonomy by using computational methods that borrow from Nature. A new area that is addressing these challenges is now emerging on the cross-roads of evolution-based and reasoning-based systems that are more flexible than existing adaptive systems.This emerging area of evolving fuzzy systems targets complex processes by developing novel learning methods and computationally efficient algorithms for real-time applications. In recognition of the growing importance of this area the IEEE Technical Committee on Fuzzy Systems within the Computational Intelligence Society decided in 2004 to set up a Task Force to which the Principal Investigator belongs. This Task Force had its First Workshop in Granada, Spain (17-19 March, 2005). A special issue on the same topic is now prepared by the IEEE Transactions on Fuzzy Systems. It was decided during the first Workshop to organize the second Workshop on Evolving Fuzzy Systems in Ambelside, UK. In this respect, the Workshop in the centre of this proposal is the next in the series organized by the IEEE Task Force and is also an attempt to broaden its appeal to a wider audience.This new emerging field is currently being shaped and the proposed Workshop will be an important event at which researchers from academia and industry active in this area will meet and discuss current achievements, problems and future directions. The event will take place at a moment in time when research on self-developing systems, that are capable of operating efficiently in unpredictable (possibly harsh) environment without human intervention, is intensively pursued world-wide and in relation to several important application areas including advanced manufacturing, aerospace, underwater exploration, defence, security and surveillance etc. Significant progress is mainly observed in the USA and the Far East (Japan, Taiwan, New Zealand). The proposed Workshop will help to ensure that the UK is recognized as one of the leading centres for research in this emerging area. In addition, the Workshop will be an excellent platform to launch the new Intelligent Systems Research Laboratory at Lancaster that includes a number of mobile robots. The Workshop is technically endorsed by such prestigious organizations as IEEE (Computational Intelligence Society and Systems, Man, and Cybernetics Society), IFSA (International Fuzzy Systems Association), EUSFLAT (EUropean Society on Fuzzy Systems And Technology) and will be supported by Lancaster University and the Department of Communication Systems.

今天的主要挑战是设计下一代智能系统，通过使用借鉴自然的计算方法，这些系统能够具有更高的灵活性和自主性。一个新的领域，是解决这些挑战，现在出现在基于进化和推理的系统，比现有的自适应systems.This不断发展的模糊系统的目标，通过开发新的学习方法和计算效率高的算法，实时应用复杂的过程中更灵活的十字路口。在认识到这一领域的重要性日益增长的IEEE技术委员会在计算智能社会的模糊系统在2004年决定成立一个工作组的首席研究员所属。该工作队在西班牙格拉纳达举行了第一次讲习班（2005年3月17日至19日）。IEEE Transactions on Fuzzy Systems现在准备了关于同一主题的特刊。它决定在第一次研讨会上组织第二次研讨会上不断发展的模糊系统在Ambelside，英国。在这方面，本建议的中心研讨会是IEEE工作组组织的系列研讨会的下一个，也是为了扩大其对更广泛受众的吸引力。这一新兴领域目前正在形成，拟议的研讨会将是一个重要的活动，活跃在这一领域的学术界和工业界的研究人员将聚集在一起，讨论当前的成就、问题和未来的方向。该事件将发生在研究自我开发系统的时刻，这些系统能够在不可预测的环境中有效运行。（可能是恶劣的）环境中没有人为干预，在世界范围内，并在几个重要的应用领域，包括先进制造，航空航天，水下勘探，国防，主要在美国和远东（日本、台湾、新西兰）观察到重大进展。拟议的研讨会将有助于确保联合王国被公认为这一新兴领域的主要研究中心之一。此外，研讨会将是一个很好的平台，推出新的智能系统研究实验室在兰开斯特，其中包括一些移动的机器人。该研讨会在技术上得到了IEEE（计算智能学会和系统、人和控制论学会）、IFSA（国际模糊系统协会）、EUSFLAT（欧洲模糊系统和技术学会）等著名组织的认可，并将得到兰开斯特大学和通信系统系的支持。

项目成果

Real-time human activity recognition from wireless sensors using evolving fuzzy systems

• DOI: 10.1109/fuzzy.2010.5584280
• 发表时间: 2010-07
• 期刊: International Conference on Fuzzy Systems
• 作者: J. Andreu;P. Angelov

Evolving fuzzy classifiers using different model architectures

• DOI: 10.1016/j.fss.2008.06.019
• 发表时间: 2008-12-01
• 期刊: FUZZY SETS AND SYSTEMS
• 影响因子: 3.9
• 作者: Angelov, P.;Lughofer, E.;Zhou, X.
• 通讯作者: Zhou, X.

Towards generic human activity recognition for ubiquitous applications

实现普遍应用的通用人类活动识别

• DOI: 10.1007/s12652-012-0133-z
• 发表时间: 2012
• 期刊: Journal of Ambient Intelligence and Humanized Computing
• 作者: Andreu J

Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection

• DOI: 10.1109/fuzzy.2010.5584130
• 发表时间: 2010-07
• 期刊: International Conference on Fuzzy Systems
• 作者: J. Andreu;P. Angelov

EVOLVING FUZZY RULE-BASED SYSTEMS FOR MODELLING OF NON-LINEAR NON-STATIONARY PROCESSES

用于非线性非平稳过程建模的基于演化模糊规则的系统

• DOI: 10.3182/20061002-4-bg-4905.00008
• 发表时间: 2006
• 期刊: IFAC Proceedings Volumes
• 作者: Angelov P