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Learning Rule

• The change in the weight is determined by how close the input pattern is to the unit's weight vector, the learning rate and a neighbourhood function, which indicates how near the unit is to the unit that won the competition.

  w_jk = N(i,j) (p_k - w_jk)

  where w_jk is the weight from unit k to unit j, is the learning rate, N(i,j) is the nearness of unit j and the winning unit i, and p_k is the kth component of the input vector.