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

This question was addressed to me in unit test.

Asked question is from Neural Networks in section Learning of Artificial Intelligence

Answer 1

Right answer is (c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded

Easy explanation: None.