Artificial intelligence (Perceptron Learning )

QUESTION:

Note:

give proper explanation for each and every step performed

give proper explanation mathematical calculation for the computation of w1,w2,d,y, ^w1 ^w2

Perceptron Learning Rule Show the mathematical working of Artificial Neural Network by taking the case in figure below. First two columns are the input values for X1 and X2 and the third column is the desired output. 000 Learning rate = 0.2 010 Threshold = 0.5 11011 Actual output = W1X1+W2X2 1/11 Next weight adjustment = Wn+AWn Change in weight = AWn = learning rate * (desired output- actual output) * Xn In Figure. First two columns are input vectors xl and x2 and last column is the desired output y. = = = = Show the complete iterations for acquiring the desired output? x1 x2 W1 w2 d y Aw1 A w2