PANFIS: A Novel Incremental Learning Machine

@article{Pratama2014PANFISAN,
  title={PANFIS: A Novel Incremental Learning Machine},
  author={Mahardhika Pratama and Sreenatha G. Anavatti and Plamen P. Angelov and Edwin Lughofer},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2014},
  volume={25},
  pages={55-68}
}
Most of the dynamics in real-world systems are compiled by shifts and drifts, which are uneasy to be overcome by omnipresent neuro-fuzzy systems. Nonetheless, learning in nonstationary environment entails a system owning high degree of flexibility capable of assembling its rule base autonomously according to the degree of nonlinearity contained in the system. In practice, the rule growing and pruning are carried out merely benefiting from a small snapshot of the complete training data to… CONTINUE READING
Highly Cited
This paper has 158 citations. REVIEW CITATIONS
82 Citations
57 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 82 extracted citations

159 Citations

020406020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 159 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 57 references

Similar Papers

Loading similar papers…