Consider Self Organization Feature Map SOFM with two cluster units and five input Units. The weight vectors for the cluster units are:- W1 = (0.2, 0.6, 0.8, 0.2, 1.0) and W2 = (0.1, 0.2, 0.4, 0.7,...

Extracted text: Consider Self Organization Feature Map SOFM with two cluster units and five input Units. The weight vectors for the cluster units are:- W1 = (0.2, 0.6, 0.8, 0.2, 1.0) and W2 = (0.1, 0.2, 0.4, 0.7, 1.0) Use the square of the Euclidean distance to find the winning cluster unit for the input Pattern x = (0.1, 1.0, 0.5, 0.0, 0.0). Using a learning rate of 0.5, find the new weights for the winning unit.