Comparative performance measures of fuzzy ARTMAP, learned vector quantization, and back propagation

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,

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