The Hebb net Step 0. Initialize all weights =0(=1tom) Step 1. For each input training record(s)it's target output (t), do steps 2-4 Step 2. Set activations for all input units Step 3. Set activation for the output unit Step 4. Adjust the weights and the bias W(new)=Wi(old)+Xy(i=1 to n)(note: Aw;=X; y) A(new)=8(old)+y The bias(the a)adjusted like a weight from a unit whose output signal is always11 The Hebb Net • Step 0. Initialize all weights: – wi =0 (i = 1 to n). • Step 1. For each input training record (s) it’s target output (t), do steps 2-4. – Step 2. Set activations for all input units: – Step 3. Set activation for the output unit: – Step 4. Adjust the weights and the bias: • wi (new) = wi (old) + xi y (i = 1 to n) (note: wi = xi y) • θ(new) = θ(old) + y . • The bias (the θ) adjusted like a weight from a unit whose output signal is always 1