Hebb Rule for Pattern Association

Algorithm of Hebb Rule:-

Step1: Initialize all weight and bias to zero
                      wi=0 for i=1 to n
Step 2:.  for each input i/p training vector and target vector o/p pair(s,t) perform step 3                 to 6.
Step3:.  Set activation for i/p unit with i/p vector
                      Xi=Si(i=1 to n)
Step4:.  Set Activation for o/p unit with o/p neuron.
                         Y=t
Step5:.  Adjust the weight by apply Hebb Rule.
                  wi(new)=(x).old+xiy for i=1 to n
Step6:.  Adjust bias
                    b(new)=b(old)
The algorithm requires only one pass through this training set.



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