EALS 2017 - 2017 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS 2017)

The EALS 2017 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 2017.
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