The fuzzy variants - Fuzzy ART and Fuzzy ARTMAP - augmented by an autoencoder network, are used here to perform unsupervised and supervised learning respectively to solve a simple image recognition problem. The dataset used is the MNIST image set of handwritten digits.
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Implementation of the Adaptive Resonance Theory (ART) architectures - Fuzzy ART and Fuzzy ARTMAP - for pattern recognition
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