IEEE-SSCI 2018

2018 SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE



18 - 21 NOVEMBER, 2018, BENGALURU, INDIA


IEEE Symposium on

Evolving and Autonomous Learning Systems

The EALS 2018 Symposium will be a focal point for presentation of the recent advanced research results and industrial applications in the emerging area of evolving and autonomously learning systems. We live in the era of Big Data and by that they mean high volume, high variability, versatility, veracity data streams generated by Internet, sensors, organisations and the society. Learning autonomously from this ocean of data and extracting meaningful knowledge which is not fixed, but dynamically evolving is one of the key challenges that the research community and the post-industrial societies are facing now and will face in the near future. The Symposium has established a track record of high quality meetings of a relatively compact community of advanced researchers and practitioners and aims to keep and build upon this with the current event, EALS 2018.

Topics

New Adaptive and Evolving Learning Methods:

  •    Evolving in Dynamic Environments
  •    Drift and Shift in Data Streams
  •    Self-monitoring Evolving Systems
  •    Evolving Decision Systems / Evolving Perceptions
  •    Self-organising Systems/ Evolving Neuro-fuzzy Systems
  •    Neural Networks with Evolving Structure
  •    Non-stationary Time Series Prediction with ES
  •    Automatic Novelty Detection in Evolving Systems
  •    Stability, Robustness, Unlearning Effects
  •    Structure Flexibility and Robustness in Evolving Systems
  •    Evolving Fuzzy Clustering Methods
  •    Evolving Fuzzy Rule-based Classifiers
  •    Evolving Intelligent Systems for Time Series Prediction
  •    Evolving Intelligent System State Monitoring and Prognostics
  •    Evolving Intelligent Controllers
  •    Evolving Fuzzy Decision Support Systems
  •    Evolving Consumer Behaviour Models


Real-world application:

  •    Robotics and Control Systems
  •    Industrial Applications
  •    Data Mining and Knowledge Discovery
  •    Intelligent Transport
  •    Bio-Informatics
  •    Defence

Symposium co-Chairs


Plamen Angelov

Lancaster University, UK
Email: p.angelov@lancaster.ac.uk


Dimitar Filev
Ford Motor Company, USA
Email: dfilev@ford.com


Nikola Kasabov
Auckland University of Technology, New Zealand
Email: nkasabov@aut.ac.nz

Program Committee

(To be announced)

Symposia