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Problem 1. Find weights for a single neuron, with bipolar activation function, which classify the following patterns into two categories: Category with desired output = 1 -2,5,-4,4; -4,3,1,2; 1,5,-5,3; -3, 2-2, 1; Category with desired output =-1 3,-2.2,-4; -1,1,5,-5; 5,-3,2,-4; 5,-4,-1,1 Note that you can solve this problem with different approaches (e.g., perceptron fixed learning, pseudo-inverse learning). Include the Matlab code (if any) to show what you do. 4 B C D +1 Problem 1. Find weights for a single neuron, with bipolar activation function, which classify the following patterns into two categories: Category with desired output = 1 -2,5,-4,4; -4,3,1,2; 1,5,-5,3; -3, 2-2, 1; Category with desired output =-1 3,-2.2,-4; -1,1,5,-5; 5,-3,2,-4; 5,-4,-1,1 Note that you can solve this problem with different approaches (e.g., perceptron fixed learning, pseudo-inverse learning). Include the Matlab code (if any) to show what you do. 4 B C D +1