Example: Assume the network shown in figure below; X W W2 0 W3 w illustrate one epoch, (one iteration for each pattern), Hebbian learning with bipolar binary activation function assuming learning rate of (c=1) with the input and initial weight vectors are: Initial Input weights X2 X= w! 0 0.5 Where the set of three training vectors are: 0 X = . X2 -0.5 -2 -1.5 1.5 0 X3 = -1 1.5 6 Example: Assume the network shown in figure below; X W W2 0 W3 w illustrate one epoch, (one iteration for each pattern), Hebbian learning with bipolar binary activation function assuming learning rate of (c=1) with the input and initial weight vectors are: Initial Input weights X2 X= w! 0 0.5 Where the set of three training vectors are: 0 X = . X2 -0.5 -2 -1.5 1.5 0 X3 = -1 1.5 6