Given the following data: X1 0.1 0.3 0.4 0.2 X2 0.2 0.1 0.2 0.3 Y 1 0 1 0 If it is known that the initial weight (Wn), bias (b), and learning rate (a) are as follows: W1 = 1 b = -1 W2 = 0.1 a = 0.5 Simulate the Single Layer Perceptron algorithm on the data above as many as 3 iterations only. Use the hardlimit activation function where: si, if y' 20 lo, if Y'