A single-neuron network using f(net) = sgn (net) as in Figure (3.2) has been trained using the pairs of x, d; as shown below: 3 d = -1 ---) (~- -[-] -~-~). dz = 1 X3 = d3 -1 The final weights obtained using the perceptron rule are w = [3 2 6 1]' Knowing that correction has been performed in each step for c = 1, determine the following weights: (a) w, w, w by back-tracking the training (b) w5, w, w7 obtained for steps 4, 5, and 6 of training by reusing the sequence (x, d), (x, d), (X3, d3).