Fuzzy ARTMAP with input relevances

@article{Andonie2006FuzzyAW,
  title={Fuzzy ARTMAP with input relevances},
  author={Razvan Andonie and Lucian Sasu},
  journal={IEEE Transactions on Neural Networks},
  year={2006},
  volume={17},
  pages={929-941}
}
  • Razvan Andonie, Lucian Sasu
  • Published 2006
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks
  • We introduce a new fuzzy ARTMAP (FAM) neural network: Fuzzy ARTMAP with relevance factor (FAMR). The FAMR architecture is able to incrementally "grow" and to sequentially accommodate input-output sample pairs. Each training pair has a relevance factor assigned to it, proportional to the importance of that pair during the learning phase. The relevance factors are user-defined or computed. The FAMR can be trained as a classifier and, at the same time, as a nonparametric estimator of the… CONTINUE READING

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