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Areas of interest include, but are not limited to:

 

Methodology:

        New Adaptive and Evolving Learning Methods

        Stability, Robustness, Unlearning Effects

        Structure Flexibility and Robustness in Evolving Systems

        Evolving in Dynamic Environments

        Drift and Shift in Data Streams     

        Evolving Decision Systems      

        Self-monitoring Evolving Systems 

        Self-Organizing Systems

        Neural Networks with Evolving Structure

        Non-Stationary Time Series Prediction with EFS

        Evolving Neuro-Fuzzy Systems

        Evolving Fuzzy Clustering Methods

        Evolving Regression-based Classifiers

        Evolving Intelligent Systems for Time Series Prediction

        Evolving Intelligent Systems State Monitoring and Prognostics

 

Real-world applications:

        EFS in Robotics, Intelligent Transport and Advanced Manufacturing

        EFS for Data Mining and Knowledge Discovery

        EFS in Advanced Communications and Multi-Media Applications

        EFS in Bioinformatics

        Evolving Activities Recognition