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?

w(m + 1) = w(m) + n(b(m) s(m)) a(m), where b(m) is desired output, s

1.	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
Answer» B. no