Fuzzy min-max neural networks. I. Classification

@article{Simpson1992FuzzyMN,
  title={Fuzzy min-max neural networks. I. Classification},
  author={Patrick K. Simpson},
  journal={IEEE transactions on neural networks},
  year={1992},
  volume={3 5},
  pages={776-86}
}
A supervised learning neural network classifier that utilizes fuzzy sets as pattern classes is described. Each fuzzy set is an aggregate (union) of fuzzy set hyperboxes. A fuzzy set hyperbox is an n-dimensional box defined by a min point and a max point with a corresponding membership function. The min-max points are determined using the fuzzy min-max learning algorithm, an expansion-contraction process that can learn nonlinear class boundaries in a single pass through the data and provides the… CONTINUE READING
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