Consider the following training set:

input values (x) desired output values (y)

x1 = (1, -1) -1

x2 = (0, 1) 1

x3 = (0.5, -1) -1

initial weight: w0 = (1, 0)

learning constant: C = 0.1

1) Show analytical steps of the perceptron learning rule for the training set given above.