Adaptive Resonance Theory Microchips

@inproceedings{SerranoGotarredona1999AdaptiveRT,
  title={Adaptive Resonance Theory Microchips},
  author={Teresa Serrano-Gotarredona and Bernabx00E9 Linares-Barranco},
  booktitle={IWANN},
  year={1999}
}
Abstract. Recently, a real-time clustering microchip based on the ART1 algorithm has been reported. That chip was able to classify 100-bit input patterns into up to 18 categories. However, its high area comsumption ( lcm 2) caused a very poor yield (6%). In this paper, an improved prototype is presented. In this chip, a different approach has been used to implement the most area consuming elements. The new chip can cope with 50-bit input patterns and classify them into up to 10 categories. Its… CONTINUE READING
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