| Question: Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. | A. | true – this works always, and these multiple perceptrons learn to classify even complex problems | B. | false – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do | C. | true – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded | D. | false – just having a single perceptron is enough | Answer» c. true – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded |  
| Note: | The above multiple-choice question is for all general and Competitive Exams in India. |