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Author(s): Carpenter, G.A. | Grossberg, S. | Iizuka, K. |
Year: 1992
Citation: Proceedings of the International Joint Conference on Neural Networks (IJCNN 92), I 794-799
Abstract: The authors compare the performance of fuzzy ARTMAP with that of learned vector quantization and back propagation on a handwritten character recognition task. Training with fuzzy ARTMAP to a fixed criterion used many fewer epochs. Voting with fuzzy ARTMAP yielded the highest recognition rates
Topics:
Image Analysis,
Applications:
Remote Sensing,
Models:
Fuzzy ARTMAP,
