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.
wjk = 
N(i,j) (pk - wjk)where wjk 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 pk is the kth component of the input vector.
