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ADPATIVE RESONANCE THEORY AND SELF ORGANIZING MAPS

ADPATIVE RESONANCE THEORY AND SELF ORGANIZING MAPS. Both ART and SOM are used for pattern recognition I have used the ART-1 algorithm for letter recognition I have used the SOM algorithm for protein recognition. OUTPUT OF ADAPTIVE RESONANCE THEORY.

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ADPATIVE RESONANCE THEORY AND SELF ORGANIZING MAPS

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  1. ADPATIVE RESONANCE THEORY AND SELF ORGANIZING MAPS • Both ART and SOM are used for pattern recognition • I have used the ART-1 algorithm for letter recognition • I have used the SOM algorithm for protein recognition

  2. OUTPUT OF ADAPTIVE RESONANCE THEORY

  3. Self organizing maps come in two shapes-hexagonal and rectangular

  4. The map will now self-organize to fit the input data

  5. The 15x15 grid has been trained with 2000 epochs

  6. This data will now fold into a 3-dimensional space

  7. This is a 2-D and 3-D comparison of the trained SOM

  8. Comparison ofEncoding I and Encoding II Encoding II performs better because the map can capture more of the data

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