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?

If a(i) is the input, ^ is the error, n is the learning parameter, the

1.	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
Answer» E.