Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting

@article{Rosa2013EvolvingHN,
  title={Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting},
  author={Raul Rosa and Fernando A. C. Gomide and Rosangela Ballini},
  journal={2013 12th International Conference on Machine Learning and Applications},
  year={2013},
  volume={2},
  pages={378-383}
}
This paper introduces an evolving hybrid fuzzy neural network-based modeling approach using neurons based on uninorms and sigmoidal activation functions in a feed forward structure. The evolving neural network simultaneously adapts its structure and updates its weights using a stream of data. Currently, learning from data streams is a challenging and important issue because often traditional learning methods are impracticable to handle nonstationary and dynamic environments from where data come… CONTINUE READING

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