ART 2-A : An Adaptive Resonance Algorithm Category Learning and Recognition

@inproceedings{Gail1990ART2,
  title={ART 2-A : An Adaptive Resonance Algorithm Category Learning and Recognition},
  author={Gail and A.. and Carpenter},
  year={1990}
}
This artic,le introduces Adaptive Resonance Theor) 2-A (ART 2-A), an efjCicient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART 2 neural network architect~~rc, hut at a speed two to three orders of magnitude fbster. Analysis and simulations show how’ the ART 2-A systems correspond to ART 2 rivnamics at both the fast-learn limit and at intermediate learning rate.r. Intermediate ieurning rates permit fust commitment of category nodes… CONTINUE READING

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A Vehicle Tracking System Using PCA and Adaptive Resonance Theory

C. SOTTHITHAWORN, Prayoth Kumsawat, K. ATTAKITMONGKOL, Arthit Srikaew
2007
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E. Rinta - Runsala J. Kiviniemi
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