Comparison of Fuzzy Artmap and Mlp Neural Networks for Hand-written Character Recognition

@inproceedings{Tay1997ComparisonOF,
  title={Comparison of Fuzzy Artmap and Mlp Neural Networks for Hand-written Character Recognition},
  author={Yong Haur Tay and Marzuki Khalid},
  year={1997}
}
-Fuzzy ARTMAP is one of the recently proposed neural network paradigm where the fuzzy logic is incorporated. In this paper, we compare the Fuzzy ARTMAP neural network and the well-known back-propagation based Multi-layer perceptron (MLP), in the context of hand-written character recognition problem. The results presented in this paper shows that the Fuzzy ARTMAP out-performs its counterpart, both in learning convergence and recognition accuracy. 

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