PLEASE HELP WITH QUESTION 1(i, ii, iii)

Instruction: Work in a group of FOUR members, discuss among your group members and solve below classification problem. You must. a. Calculate and produce solution for the classification problem manually (only for Question 1) b. Use MATLAB software to solve these classification problem (Both questions) For Question 1, submit your manual calculation as well as the results you obtain from MATLAB simulation. You are also required to submit the m-file that you use to solve the problem. For Question 2, submit your results from MATLAB as well as the m-file. Question 1 We want to design a perceptron network that capable to train and classify the following training set. {P = [_] , tp = 0}{P2 = 10), t2 = 0}{P: = [54], t3 = 1} Let the initial weight matrix and bias as follows. Below are the questions. W(0) = [10], b(0) = 0.5 i. Plot the initial decision boundary, weight vector and input patterns. Which patterns are correctly classified using the initial weight and bias? ii. Train the network with the perceptron rule. Present each input vector once, in the order shown above. 111. Classify the following input vectors with the solution you obtain in above. You must perform the calculation manually and with MATLAB. Ps = [1] Instruction: Work in a group of FOUR members, discuss among your group members and solve below classification problem. You must. a. Calculate and produce solution for the classification problem manually (only for Question 1) b. Use MATLAB software to solve these classification problem (Both questions) For Question 1, submit your manual calculation as well as the results you obtain from MATLAB simulation. You are also required to submit the m-file that you use to solve the problem. For Question 2, submit your results from MATLAB as well as the m-file. Question 1 We want to design a perceptron network that capable to train and classify the following training set. {P = [_] , tp = 0}{P2 = 10), t2 = 0}{P: = [54], t3 = 1} Let the initial weight matrix and bias as follows. Below are the questions. W(0) = [10], b(0) = 0.5 i. Plot the initial decision boundary, weight vector and input patterns. Which patterns are correctly classified using the initial weight and bias? ii. Train the network with the perceptron rule. Present each input vector once, in the order shown above. 111. Classify the following input vectors with the solution you obtain in above. You must perform the calculation manually and with MATLAB. Ps = [1]