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Evolving classification function

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Evolving classification functions (ECF), evolving classifier functions or evolving classifiers[disambiguation needed] are used for classifying and clustering in the field of machine learning and artificial intelligence, typically employed for data stream mining tasks in dynamic and changing environments.

See also

  • Evolving fuzzy rule-based Classifier (eClass [1])
  • Evolving Takagi-Sugeno fuzzy systems (eTS [2])
  • Evolving All-Pairs (ensembled) classifiers (EFC-AP [3])
  • Evolving Connectionist Systems (ECOS)
Dynamic Evolving Neuro-Fuzzy Inference Systems (DENFIS)
Evolving Fuzzy Neural Networks (EFuNN)
Evolving Self-Organising Maps

References

  1. ^ http://www.scholarpedia.org/article/Evolving_fuzzy_systems
  2. ^ http://www.scholarpedia.org/article/Evolving_fuzzy_systems#Evolving_TS_fuzzy_systems
  3. ^ Lughofer, E.; Buchtala, O. (2013). "Reliable All-Pairs Evolving Fuzzy Classifiers". IEEE Transactions on Fuzzy Systems. 21 (4): 625–641.


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