PANFIS: A Novel Incremental Learning Machine

  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},
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
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