Dear Sir, please solve the question in the square mathematically using Hebb net method by same way of the provided example in step by step with full details, and provide me with figure of Hebb Net for XOR diagram function, and Decision Boundary for XOR function...Thanks

Example 2.1 Design a Hebb net to implement logical AND function using bipolar input-output patterns. The following example is illustrated below: Solution The training partem for an AND logic function is shown below Training Patterns Input Target b FT 1 Yi 1 1 Y2 X X2 X; X 1 1 13 1 1 1 YA A single layer network with 2 input neurons, one bias and one output neuron is considered. The initial weights are set to zero. W(old)=(0 0 0) Case 1: For the first input, X, = 1-1 - ] and the target, y, =(-1) the updated weight is: W(new) =W (old) + X, Y, = [0 0 0]" + [-] - 1 1]' (-1) = [0 0 Op+ [1 1 -1} =(1 1 -1]" Case Il + On applying the second input vector, X, - (- 1 1) and the corresponding target, y={-1] the new weight vector is : W(new)= Wold) + X Y2 = [1 1 -1}+{-11 1'(-1) =(11-1+ (1 -1 -1} =(2 0 -2] Case lui: For the third input pattern, X, = [1 -1 1] and the corresponding target, y; = (-1) the new weight vector is: W(new)= W(old) + x, y, = [2 0 -2]"+[1 -1 1]l-1] = [2 0 -2]" +/-1 1-1]" (11-3) Case IV: Applying the fourth input pattern, X =