Question

If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?

(a) na(i)

(b) n^

(c) ^a(i)

(d) none of the mentioned

I have been asked this question in class test.

This interesting question is from Models in division Basics of Artificial Neural Networks of Neural Networks

Answer 1

The correct choice is (d) none of the mentioned

For explanation I would say: The correct answer is n^a(i).