USE KOHONEN SOM to cluster 4 vectors. The maximum number of clusters to be formed is 2. The learning rate (or, gain term ɳ(t)=0.8. Do the training for 5 epochs and compute the final weights. ɳ(t+1)= ɳ(t)/2

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Artificial Neural Network:

 

   USE KOHONEN SOM to cluster 4 vectors. The maximum number of clusters to be formed is 2. The learning rate (or, gain term ɳ(t)=0.8. Do the training for 5 epochs and compute the final weights.

ɳ(t+1)= ɳ(t)/2

 

 

 

 

 

Vectors:
|0
2 100
0003 1
1100 0
00002
Initial Weight Matrix is :
0.7 0.3
0.9 0.1
0.20.2
0.1
0.1 |0.7
0.3 0.8
(Use the direction of the arrow in each epoch and divide
the learning rate by 2 after each epoch. Do not forget to
normalize the vectors.
Transcribed Image Text:Vectors: |0 2 100 0003 1 1100 0 00002 Initial Weight Matrix is : 0.7 0.3 0.9 0.1 0.20.2 0.1 0.1 |0.7 0.3 0.8 (Use the direction of the arrow in each epoch and divide the learning rate by 2 after each epoch. Do not forget to normalize the vectors.
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