If e(m) denotes error for correction of weight then what is formula for error in perceptron learning model: 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

• A. e(m) = n(b(m) s(m)) a(m)
• B. e(m) = n(b(m) s(m))
• C. e(m) = (b(m) s(m))
• D. none of the mentioned