If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be r
Posted: Thu Jul 14, 2022 12:24 pm
a) na(i)
b) n^
c) ^a(i)
d) none of the mentioned
b) n^
c) ^a(i)
d) none of the mentioned