Consider a Kohonen net (Self Organization Feature Map) with two cluster units and live input units. The weight vectors for the cluster units are:- W1= (1, 0.8, 0.6, 0.4, 2) and W2 = (0.5, 0.4, 0.6, 0.8, 1) Use the square of the Euclidean distance to find the winning cluster unit for the input Pattern x=(0.5, 1, 0.5, 0, 0). Using a learning rate of 0.2, find the new weights for the d winning unit.
Consider a Kohonen net (Self Organization Feature Map) with two cluster units and live input units. The weight vectors for the cluster units are:- W1= (1, 0.8, 0.6, 0.4, 2) and W2 = (0.5, 0.4, 0.6, 0.8, 1) Use the square of the Euclidean distance to find the winning cluster unit for the input Pattern x=(0.5, 1, 0.5, 0, 0). Using a learning rate of 0.2, find the new weights for the d winning unit.
Related questions
Question
Transcribed Image Text:0.6: Consider a Kohonen net (Self Organization Feature Map) with two cluster units and five
input units. The weight vectors for the cluster units are:-
W1 = (1, 0.8, 0.6, 0.4, 2)
and
W2 = (0.5, 0.4, 0.6, 0.8, 1)
Use the square of the Euclidean distance to find the winning cluster unit for the input
Pattern x=(0.5, 1, 0.5, 0, 0). Using a learning rate of 0.2, find the new weights for the
2
winning unit.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps with 2 images
