Widrоw-Hоff Leаrning Rule - As we hаve prаcticed in the classrоom on Widrow-Hoff learning rule, assume that the training rule given in and is equal to the difference between the current desired response dk and the current value of the neuron's activation netk for the learning rule. Assume that the (k+1)'th step requires weight adaptation. Prove please that after the weight correction is made in the k'th step, and again the same input pattern yk+1= yk is presented, the error is reduced (1 - ck) times (this is revised and related to Widrow-Hoff learning rule).