Question

w(m + 1) = w(m) + n(b(m) – s(m)) a(m), where b(m) is desired output, s(m) is actual output, a(m) is input vector and ‘w’ denotes weight, can this model be used for perceptron learning?

(a) yes

(b) no

I have been asked this question in semester exam.

My doubt stems from Pattern Classification in section Feedforward Neural Networks of Neural Networks

Answer 1

The correct option is (a) yes

Easiest explanation: Gradient descent can be used as perceptron learning.