José M. Cano-Izquierdo

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ARTMAP is a neural network architecture that addresses the category proliferation problem present in Fuzzy ARTMAP, by encouraging the creation of large hyperboxes. However, under certain characteristics of the classiication task, this principle can be inadequate, namely if some class has its patterns distributed in several isolated regions, far apart in the(More)
This paper presents the application of an Adaptive Resonance Theory (ART) based on neural networks combined with Fuzzy Logic systems to classify physiological reactions of subjects performing robot-assisted rehabilitation therapies. First, the theoretical background of a neuro-fuzzy classifier called S-dFasArt is presented. Then, the methodology and(More)
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