ADPATIVE%20RESONANCE%20THEORY%20AND%20SELF%20ORGANIZING%20MAPS

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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

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OUTPUT OF ADAPTIVE RESONANCE THEORY
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Self organizing maps come in two shapes-hexagonal
and rectangular
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The map will now self-organize to fit the input
data
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The 15x15 grid has been trained with 2000 epochs
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This data will now fold into a 3-dimensional space
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This is a 2-D and 3-D comparison of the trained
SOM
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Comparison ofEncoding I and Encoding II
Encoding II performs better because the map can
capture more of the data