Question

Q3. We have a classification problem with four classes of input vector. The four classes are Class 1: { [1 1], [1 2] }; Class 2: { [2 -1], [2 0] }; Class 3: { [-1 2], [-2 1] }; Class 4: { [-1 -1], [-2 -2] }. Design a perceptron network to solve this problem.

          Q3. We have a classification problem with four classes of input vector. The four classes are
Class 1: { [1 1], [1 2] }; Class 2: { [2 -1], [2 0] }; Class 3: { [-1 2], [-2 1] }; Class 4: { [-1 -1], [-2 -2] }. Design a perceptron network to solve this problem.

Q3. We have a classification problem with four classes of input vector. The four classes are
Class 1: [1 1], [1 2] ; Class 2: [2 -1], [2 0] ; Class 3: [-1 2], [-2 1] ; Class 4: [-1 -1], [-2 -2] . Design a perceptron network to solve this problem.

Added by Christina K.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Aman Gupta

Step 1

Each class has two input vectors. A perceptron is a simple linear binary classifier, which means we need to adapt our approach since we are dealing with a multi-class classification problem. Show more…

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We have a classification problem with four classes of input vectors. The four classes are: Class 1: {[1, 1], [1, 2]} Class 2: {[2, -1], [2, 0]} Class 3: {[-1, 2], [-2, 1]} Class 4: {[-1, -1], [-2, 2]} Design a perceptron network to solve this problem.